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Problems in the deployment of machine-learned models in health care
Joseph Paul Cohen and Tianshi Cao and Joseph D Viviano and Chin-Wei Huang and Michael Fralick and Marzyeh Ghassemi and Muhammad Mamdani and Russell Greiner and Yoshua Bengio
2024
Segment anything in medical images
Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, Bo Wang
2024
DeepVelo: deep learning extends RNA velocity to multi-lineage systems with cell-specific kinetics
Haotian Cui, Hassaan Maan, Maria C. Vladoiu, Jiao Zhang, Michael D. Taylor, Bo Wang
2024
A radiographic score for human donor lungs on ex vivo lung perfusion predicts transplant outcomes
Bonnie T. Chao BASc, Micheal C. McInnis MD, Andrew T. Sage PhD, Jonathan C. Yeung MD PhD, Marcelo Cypel MD, Mingyao Liu MD, Bo Wang PhD, Shaf Keshavjee MD
2024
Deep learning for automatic organ and tumor segmentation in nanomedicine pharmacokinetics
Alex Dhaliwal, Jun Ma, Mark Zheng, Qing Lyu, Maneesha A. Rajora, Shihao Ma, Laura Oliva, Anthony Ku, Michael Valic, Bo Wang, and Gang Zheng
2024
Gauche: A library for Gaussian processes in chemistry
Ryan-Rhys Griffiths and Leo Klarner and Henry Moss and Aditya Ravuri and Sang Truong and Yuanqi Du and Samuel Stanton and Gary Tom and Bojana Rankovic and Arian Jamasb and Aryan Deshwal and Julius Schwartz and Austin Tripp and Gregory Kell and Simon Frieder and Anthony Bourached and Alex Chan and Jacob Moss and Chengzhi Guo and Johannes Peter Dürholt and Saudamini Chaurasia and Ji Won Park and Felix Strieth-Kalthoff and Bingqing Cheng and Alan Aspuru-Guzik and Philippe Schwaller and Jian Tang
2024
Artificial design of organic emitters via a genetic algorithm enhanced by a deep neural network
AkshatKumar Nigam and Robert Pollice and Pascal Friederich and Alán Aspuru-Guzik
2024
Ultrafast computational screening of molecules with inverted singlet-triplet energy gaps using the Pariser-Parr-Pople semi-empirical quantum chemistry method
Kjell Jorner and Robert Pollice and Cyrille Lavigne and Alán Aspuru-Guzik
2024
Accelerated chemical science with AI
Seoin Back and Alán Aspuru-Guzik and Michele Ceriotti and Ganna Gryn'ova and Bartosz Grzybowski and Geun Ho Gu and Jason Hein and Kedar Hippalgaonkar and Rodrigo Hormázabal and Yousung Jung and Seonah Kim and Woo Youn Kim and Seyed Mohamad Moosavi and Juhwan Noh and Changyoung Park and Joshua Schrier and Philippe Schwaller and Koji Tsuda and Tejs Vegge and O Anatole von Lilienfeld and Aron Walsh
2024
DELFI: A computer oracle for recommending density functionals for excited states calculations
Davide Avagliano and Marta Skreta and Sebastian Arellano-Rubach and Alan Aspuru-Guzik
2024
Determining 3D structure from molecular formula and isotopologue rotational spectra in natural abundance with reflection-equivariant diffusion
Austin H Cheng and Alston Lo and Santiago Miret and Brooks H Pate and Alán Aspuru-Guzik
2024
Accelerating discovery in organic redox flow batteries
Yang Cao and Alán Aspuru-Guzik
2024
Allosteric inhibition of tRNA synthetase Gln4 by N-pyrimidinyl-β-thiophenylacrylamides exerts highly selective antifungal activity
Emily Puumala and David Sychantha and Elizabeth Lach and Shawn Reeves and Sunna Nabeela and Meea Fogal and AkshatKumar Nigam and Jarrod W Johnson and Alán Aspuru-Guzik and Rebecca S Shapiro and Priya Uppuluri and Subha Kalyaanamoorthy and Jakob Magolan and Luke Whitesell and Nicole Robbins and Gerard D Wright and Leah E Cowen
2024
Identifying the risks of lm agents with an lm-emulated sandbox
Yangjun Ruan and Honghua Dong and Andrew Wang and Silviu Pitis and Yongchao Zhou and Jimmy Ba and Yann Dubois and Chris J Maddison and Tatsunori Hashimoto
2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization
Idan Attias and Gintare Karolina Dziugaite and Mahdi Haghifam and Roi Livni and Daniel M Roy
2024
Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets
Nate Ackerman and Cameron E Freer and Younesse Kaddar and Jacek Karwowski and Sean Moss and Daniel Roy and Sam Staton and Hongseok Yang
2024
Tools for Verifying Neural Models’ Training Data
Dami Choi and Yonadav Shavit and David K Duvenaud
2024
Advancing differential privacy: Where we are now and future directions for real-world deployment
Rachel Cummings and Damien Desfontaines and David Evans and Roxana Geambasu and Yangsibo Huang and Matthew Jagielski and Peter Kairouz and Gautam Kamath and Sewoong Oh and Olga Ohrimenko and Nicolas Papernot and Ryan Rogers and Milan Shen and Shuang Song and Weijie Su and Andreas Terzis and Abhradeep Thakurta and Sergei Vassilvitskii and Yu-Xiang Wang and Li Xiong and Sergey Yekhanin and Da Yu and Huanyu Zhang and Wanrong Zhang
2024
Distribution learnability and robustness
Shai Ben-David and Alex Bie and Gautam Kamath and Tosca Lechner
2024
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors
Yiwei Lu and Matthew YR Yang and Gautam Kamath and Yaoliang Yu
2024
Not All Learnable Distribution Classes are Privately Learnable
Mark Bun and Gautam Kamath and Argyris Mouzakis and Vikrant Singhal
2024
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe and E Kelly Buchanan and Geoff Pleiss and John P Cunningham
2024
Learning in the presence of low-dimensional structure: a spiked random matrix perspective
Jimmy Ba and Murat A Erdogdu and Taiji Suzuki and Zhichao Wang and Denny Wu
2024
HyperSOR: Context-aware Graph Hypernetwork for Salient Object Ranking
Minglang Qiao and Mai Xu and Lai Jiang and Peng Lei and Shijie Wen and Yunjin Chen and Leonid Sigal
2024
Mitigating the Effect of Incidental Correlations on Part-based Learning
Gaurav Bhatt and Deepayan Das and Leonid Sigal and Vineeth N Balasubramanian
2024
Framework-agnostic Semantically-aware Global Reasoning for Segmentation
Mir Rayat Imtiaz Hossain and Leonid Sigal and James J Little
2024
Gradient-based feature learning under structured data
Alireza Mousavi-Hosseini and Denny Wu and Taiji Suzuki and Murat A Erdogdu
2024
Optimal Excess Risk Bounds for Empirical Risk Minimization on -Norm Linear Regression
Ayoub El Hanchi and Murat A Erdogdu
2024
Calibrated one round federated learning with bayesian inference in the predictive space
Mohsin Hasan and Guojun Zhang and Kaiyang Guo and Xi Chen and Pascal Poupart
2024
Structured Neural Networks for Density Estimation and Causal Inference
Asic Chen, Ruian Ian Shi, Xiang Gao, Ricardo Baptista, Rahul G Krishnan
2024
Development of a Multimodal Machine Learning-Based Prognostication Model for Traumatic Brain Injury Using Clinical Data and Computed Tomography Scans: A CENTER-TBI and CINTER-TBI Study
Atsuhiro Hibi, Michael D Cusimano, Alexander Bilbily, Rahul G Krishnan, Pascal N Tyrrell, CENTER-TBI and CINTER-TBI Participants and Investigators
2024
Impact of Automated Prognostication on Traumatic Brain Injury Care: A Focus Group Study
Atsuhiro Hibi, Michael D Cusimano, Alexander Bilbily, Rahul G Krishnan, Pascal N Tyrrell
2024
Dreamteacher: Pretraining image backbones with deep generative models
Daiqing Li and Huan Ling and Amlan Kar and David Acuna and Seung Wook Kim and Karsten Kreis and Antonio Torralba and Sanja Fidler
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
Agustinus Kristiadi and Felix Strieth-Kalthoff and Marta Skreta and Pascal Poupart and Alán Aspuru-Guzik and Geoff Pleiss
2024
Replan: Robotic replanning with perception and language models
Marta Skreta and Zihan Zhou and Jia Lin Yuan and Kourosh Darvish and Alán Aspuru-Guzik and Animesh Garg
2024
Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom and Stefan P Schmid and Sterling G Baird and Yang Cao and Kourosh Darvish and Han Hao and Stanley Lo and Sergio Pablo-García and Ella M Rajaonson and Marta Skreta and Naruki Yoshikawa and Samantha Corapi and Gun Deniz Akkoc and Felix Strieth-Kalthoff and Martin Seifrid and Alán Aspuru-Guzik
2024
ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization
Kourosh Darvish and Marta Skreta and Yuchi Zhao and Naruki Yoshikawa and Sagnik Som and Miroslav Bogdanovic and Yang Cao and Han Hao and Haoping Xu and Alán Aspuru-Guzik and Animesh Garg and Florian Shkurti
2024
Towards the Prediction of Drug Solubility in Binary Solvent Mixtures at Various Temperatures Using Machine Learning
Zeqing Bao and Gary Tom and Austin Cheng and Alán Aspuru-Guzik and Christine Allen
2024
Challenges and opportunities for applying quantum computers to drug design
Raffaele Santagati and Alán Aspuru-Guzik and Ryan Babbush and Matthias Degroote and Leticia Gonzalez and Elica Kyoseva and Nikolaj Moll and Markus Oppel and Robert Parrish and Nicholas Rubin and Michael Streif and Christofer Tautermann and Horst Weiss and Horst Weiss and Nathan Wiebe and Clemens Utschig-Utschig
2024
Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic Data
Sagi Eppel and Jolina Li and Manuel Drehwald and Alan Aspuru-Guzik
2024
From Eyes to Cameras: Computer Vision for High-Throughput Liquid-Liquid Separation
Rama El-khawaldeh and Abhijoy Mandal and Naruki Yoshikawa and Wenyu Zhang and Ryan Corkery and Paloma Prieto and Alán Aspuru-Guzik and Kourosh Darvish and Jason Hein
2024
Automating physical experiments via Large Language Models: an attempt on superconducting quantum processors
Zijian Zhang and Shuxiang Cao and Mohammed Alghadeer and Simone Fasciati and Michele Piscitelli and Mustafa Bakr and Peter Leek and Alán Aspuru-Guzik
2024
Generative diffusion model for surface structure discovery
Nikolaj Rønne and Alán Aspuru-Guzik and Bjørk Hammer
2024
Does one need to polish electrodes in an eight pattern? Automation provides the answer.
Naruki Yoshikawa and Gun Deniz Akkoc and Sergio Pablo-García and Yang Cao and Han Hao and Alán Aspuru-Guzik
2024
Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS
Mohammad Ghazi Vakili and Christoph Gorgulla and AkshatKumar Nigam and Dmitry Bezrukov and Daniel Varoli and Alex Aliper and Daniil Polykovsky and Krishna M Padmanabha Das and Jamie Snider and Anna Lyakisheva and Ardalan Hosseini Mansob and Zhong Yao and Lela Bitar and Eugene Radchenko and Xiao Ding and Jinxin Liu and Fanye Meng and Feng Ren and Yudong Cao and Igor Stagljar and Alán Aspuru-Guzik and Alex Zhavoronkov
2024
Chemically Motivated Simulation Problems are Efficiently Solvable by a Quantum Computer
Philipp Schleich and Lasse Bjørn Kristensen and Davide Avagliano and Mohsen Bagherimehrab and Abdulrahman Aldossary and Christoph Gorgulla and Joe Fitzsimons and Alán Aspuru-Guzik
2024
The generative quantum eigensolver (GQE) and its application for ground state search
Kouhei Nakaji and Lasse Bjørn Kristensen and Jorge A Campos-Gonzalez-Angulo and Mohammad Ghazi Vakili and Haozhe Huang and Mohsen Bagherimehrab and Christoph Gorgulla and FuTe Wong and Alex McCaskey and Jin-Sung Kim and Thien Nguyen and Pooja Rao and Alan Aspuru-Guzik
2024
Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence
Marcel Hussing and Claas Voelcker and Igor Gilitschenski and Amir-massoud Farahmand and Eric Eaton
2024
Experts Don’t Cheat: Learning What You Don’t Know By Predicting Pairs
Daniel D Johnson and Daniel Tarlow and David Duvenaud and Chris J Maddison
2024
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
Zahra Gharaee and ZeMing Gong and Nicholas Pellegrino and Iuliia Zarubiieva and Joakim Bruslund Haurum and Scott Lowe and Jaclyn McKeown and Chris Ho and Joschka McLeod and Yi-Yun Wei and Jireh Agda and Sujeevan Ratnasingham and Dirk Steinke and Angel Chang and Graham W Taylor and Paul Fieguth
2024
Thought cloning: Learning to think while acting by imitating human thinking
Shengran Hu and Jeff Clune
2024
Genie: Generative Interactive Environments
Jake Bruce and Michael Dennis and Ashley Edwards and Jack Parker-Holder and Yuge Shi and Edward Hughes and Matthew Lai and Aditi Mavalankar and Richie Steigerwald and Chris Apps and Yusuf Aytar and Sarah Bechtle and Feryal Behbahani and Stephanie Chan and Nicolas Heess and Lucy Gonzalez and Simon Osindero and Sherjil Ozair and Scott Reed and Jingwei Zhang and Konrad Zolna and Jeff Clune and Nando de Freitas and Satinder Singh and Tim Rocktäschel
2024
Percutaneous nephrostomy needle guidance using real-time 3D anatomical visualization with live ultrasound segmentation
Andrew Kim and Chris Yeung and Robert Szabo and Kyle Sunderland and Rebecca Hisey and David Morton and Ron Kikinis and Babacar Diao and Parvin Mousavi and Tamas Ungi and Gabor Fichtinger
2024
Benchmarking image transformers for prostate cancer detection from ultrasound data
Mohamed Harmanani and Paul FR Wilson and Fahimeh Fooladgar and Amoon Jamzad and Mahdi Gilany and Minh Nguyen Nhat To and Brian Wodlinger and Purang Abolmaesumi and Parvin Mousavi
2024
Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights
Maksym Taranukhin and Sahithya Ravi and Gabor Lukacs and Evangelos Milios and Vered Shwartz
2024
Small But Funny: A Feedback-Driven Approach to Humor Distillation
Sahithya Ravi and Patrick Huber and Akshat Shrivastava and Aditya Sagar and Ahmed Aly and Vered Shwartz and Arash Einolghozati
2024
Instruct-Imagen: Image Generation with Multi-modal Instruction
Hexiang Hu and Kelvin CK Chan and Yu-Chuan Su and Wenhu Chen and Yandong Li and Kihyuk Sohn and Yang Zhao and Xue Ben and Boqing Gong and William Cohen and Ming-Wei Chang and Xuhui Jia
2024
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
Kai Zhang and Yi Luan and Hexiang Hu and Kenton Lee and Siyuan Qiao and Wenhu Chen and Yu Su and Ming-Wei Chang
2024
Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
Xinyi Wang and Alfonso Amayuelas and Kexun Zhang and Liangming Pan and Wenhu Chen and William Yang Wang
2024
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Tianyu Zheng and Ge Zhang and Tianhao Shen and Xueling Liu and Bill Yuchen Lin and Jie Fu and Wenhu Chen and Xiang Yue
2024
E^ 2-LLM: Efficient and Extreme Length Extension of Large Language Models
Jiaheng Liu and Zhiqi Bai and Yuanxing Zhang and Chenchen Zhang and Yu Zhang and Ge Zhang and Jiakai Wang and Haoran Que and Yukang Chen and Wenbo Su and Tiezheng Ge and Jie Fu and Wenhu Chen and Bo Zheng
2024
ChatMusician: Understanding and Generating Music Intrinsically with LLM
Ruibin Yuan and Hanfeng Lin and Yi Wang and Zeyue Tian and Shangda Wu and Tianhao Shen and Ge Zhang and Yuhang Wu and Cong Liu and Ziya Zhou and Ziyang Ma and Liumeng Xue and Ziyu Wang and Qin Liu and Tianyu Zheng and Yizhi Li and Yinghao Ma and Yiming Liang and Xiaowei Chi and Ruibo Liu and Zili Wang and Pengfei Li and Jingcheng Wu and Chenghua Lin and Qifeng Liu and Tao Jiang and Wenhao Huang and Wenhu Chen and Emmanouil Benetos and Jie Fu and Gus Xia and Roger Dannenberg and Wei Xue and Shiyin Kang and Yike Guo
2024
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation
Weiming Ren and Harry Yang and Ge Zhang and Cong Wei and Xinrun Du and Stephen Huang and Wenhu Chen
2024
CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
Ge Zhang and Xinrun Du and Bei Chen and Yiming Liang and Tongxu Luo and Tianyu Zheng and Kang Zhu and Yuyang Cheng and Chunpu Xu and Shuyue Guo and Haoran Zhang and Xingwei Qu and Junjie Wang and Ruibin Yuan and Yizhi Li and Zekun Wang and Yudong Liu and Yu-Hsuan Tsai and Fengji Zhang and Chenghua Lin and Wenhao Huang and Wenhu Chen and Jie Fu
2024
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation
Tianyu Zheng and Shuyue Guo and Xingwei Qu and Jiawei Guo and Weixu Zhang and Xinrun Du and Chenghua Lin and Wenhao Huang and Wenhu Chen and Jie Fu and Ge Zhang
2024
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
Yuelin Bai and Xinrun Du and Yiming Liang and Yonggang Jin and Ziqiang Liu and Junting Zhou and Tianyu Zheng and Xincheng Zhang and Nuo Ma and Zekun Wang and Ruibin Yuan and Haihong Wu and Hongquan Lin and Wenhao Huang and Jiajun Zhang and Wenhu Chen and Chenghua Lin and Jie Fu and Min Yang and Shiwen Ni and Ge Zhang
2024
AnyV2V: A Plug-and-Play Framework For Any Video-to-Video Editing Tasks
Max Ku and Cong Wei and Weiming Ren and Huan Yang and Wenhu Chen
2024
Reward Guided Latent Consistency Distillation
Jiachen Li and Weixi Feng and Wenhu Chen and William Yang Wang
2024
DEEP-ICL: Definition-Enriched Experts for Language Model In-Context Learning
Xingwei Qu and Yiming Liang and Yucheng Wang and Tianyu Zheng and Tommy Yue and Lei Ma and Stephen W Huang and Jiajun Zhang and Wenhu Chen and Chenghua Lin and Jie Fu and Ge Zhang
2024
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Alex Zhuang and Ge Zhang and Tianyu Zheng and Xinrun Du and Junjie Wang and Weiming Ren and Stephen W Huang and Jie Fu and Xiang Yue and Wenhu Chen
2024
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval
Siwei Wu and Yizhi Li and Kang Zhu and Ge Zhang and Yiming Liang and Kaijing Ma and Chenghao Xiao and Haoran Zhang and Bohao Yang and Wenhu Chen and Wenhao Huang and Noura Al Moubayed and Jie Fu and Chenghua Lin
2024
LESS: Label-efficient Multi-scale Learning for Cytological Whole Slide Image Screening
Beidi Zhao and Wenlong Deng and Zi Han and Chen Zhou and Zuhua Gao and Gang Wang and Xiaoxiao Li
2024
Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
Ruinan Jin and Chun-Yin Huang and Chenyu You and Xiaoxiao Li
2024
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
Daniel D Johnson and Ayoub El Hanchi and Chris J Maddison
2023
Subject-driven Text-to-Image Generation via Apprenticeship Learning
Wenhu Chen and Hexiang Hu and Yandong Li and Nataniel Ruiz and Xuhui Jia and Ming-Wei Chang and William W Cohen
2023
Facilitating robotic control using a virtual reality interface
Suzanne Gildert and George Samuel Rose and Graham William Taylor and James Bergstra
2023
Monitoring Shortcut Learning using Mutual Information
Mohammed Adnan and Yani Ioannou and Chuan-Yung Tsai and Angus Galloway and HR Tizhoosh and Graham W Taylor
2023
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers
Cong Wei and Brendan Duke and Ruowei Jiang and Parham Aarabi and Graham W Taylor and Florian Shkurti
2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
Mingjie Wang and Yande Li and Jun Zhou and Graham W Taylor and Minglun Gong
2023
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition
Juan Carrasquilla and Mohamed Hibat-Allah and Estelle Inack and Alireza Makhzani and Kirill Neklyudov and Graham W Taylor and Giacomo Torlai
2023
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
Lazar Atanackovic and Alexander Tong and Jason Hartford and Leo J Lee and Bo Wang and Yoshua Bengio
2023
NodeCoder: a graph-based machine learning platform to predict active sites of modeled protein structures
2023
Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy patients
Zeinab Navidi and Jesse Sun and Raymond H Chan and Kate Hanneman and Amna Al-Arnawoot and Alif Munim and Harry Rakowski and Martin S Maron and Anna Woo and Bo Wang and Wendy Tsang
2023
scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI
Haotian Cui and Chloe Wang and Hassaan Maan and Bo Wang
2023
Generative AI could revolutionize health care — but not if control is ceded to big tech
Augustin Toma, Senthujan Senkaiahliyan, Patrick R. Lawler, Barry Rubin, Bo Wang
2023
Self-driving laboratories: A paradigm shift in nanomedicine development
Riley J Hickman and Pauric Bannigan and Zeqing Bao and Alán Aspuru-Guzik and Christine Allen
2023
Large language models for chemistry robotics
Naruki Yoshikawa and Marta Skreta and Kourosh Darvish and Sebastian Arellano-Rubach and Zhi Ji and Lasse Bjørn Kristensen and Andrew Zou Li and Yuchi Zhao and Haoping Xu and Artur Kuramshin and Alán Aspuru-Guzik and Florian Shkurti and Animesh Garg
2023
Revolutionizing drug formulation development: The increasing impact of machine learning
Zeqing Bao and Jack Bufton and Riley J Hickman and Alán Aspuru-Guzik and Pauric Bannigan and Christine Allen
2023
Rational design of organic molecules with inverted gaps between the first excited singlet and triplet
Robert Pollice and Benjamin Ding and Alán Aspuru-Guzik
2023
Recent advances in the self-referencing embedded strings (SELFIES) library
Alston Lo and Robert Pollice and AkshatKumar Nigam and Mario Krenn and Andrew D White and Alán Aspuru-Guzik
2023
Towards equilibrium molecular conformation generation with GFlowNets
Alexandra Volokhova and Michał Koziarski and Alex Hernández-García and Cheng-Hao Liu and Santiago Miret and Pablo Lemos and Luca Thiede and Zichao Yan and Alán Aspuru-Guzik and Yoshua Bengio
2023
Data-driven development of an oral lipid-based nanoparticle formulation of a hydrophobic drug
Zeqing Bao and Fion Yung and Riley J Hickman and Alán Aspuru-Guzik and Pauric Bannigan and Christine Allen
2023
Boosting quantum amplitude exponentially in variational quantum algorithms
Thi Ha Kyaw and Micheline B Soley and Brandon Allen and Paul Bergold and Chong Sun and Victor S Batista and Alán Aspuru-Guzik
2023
Unveiling the TADF Emitters with Apparent Negative Singlet‐Triplet Gaps: Implications for Exciton Harvesting and OLED Performance
Xinrui Chen and Sergey Bagnich and Robert Pollice and Bing Li and Yuanyuan Zhu and Rishabh Saxena and Yixiao Yin and Weiguo Zhu and Alan Aspuru‐Guzik and Eli Zysman‐Colman and Anna Köhler and Yafei Wang
2023
Kernel based quantum machine learning at record rate: Many-body distribution functionals as compact representations
Danish Khan and Stefan Heinen and O Anatole von Lilienfeld
2023
Autonomous data extraction from peer reviewed literature for training machine learning models of oxidation potentials
Siwoo Lee and Stefan Heinen and Danish Khan and O Anatole von Lilienfeld
2023
Probabilistic invariant learning with randomized linear classifiers
Leonardo Cotta and Gal Yehuda and Assaf Schuster and Chris J Maddison
2023
Minimax rates for conditional density estimation via empirical entropy
Blair Bilodeau and Dylan J Foster and Daniel M Roy
2023
Existence of matching priors on compact spaces
Haosui Duanmu and Daniel M Roy and Aaron Smith
2023
Relaxing the iid assumption: Adaptively minimax optimal regret via root-entropic regularization
Blair Bilodeau and Jeffrey Negrea and Daniel M Roy
2023
Robustness implies privacy in statistical estimation
Samuel B Hopkins and Gautam Kamath and Mahbod Majid and Shyam Narayanan
2023
Exploring the limits of model-targeted indiscriminate data poisoning attacks
Yiwei Lu and Gautam Kamath and Yaoliang Yu
2023
Private gans, revisited
Alex Bie and Gautam Kamath and Guojun Zhang
2023
Private distribution learning with public data: The view from sample compression
Shai Ben-David and Alex Bie and Clément L Canonne and Gautam Kamath and Vikrant Singhal
2023
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent
Da Yu and Gautam Kamath and Janardhan Kulkarni and Tie-Yan Liu and Jian Yin and Huishuai Zhang
Jimmy Z. Di and Jack Douglas and Jayadev Acharya and Gautam Kamath and Ayush Sekhari
2023
Federated benchmarking of medical artificial intelligence with MedPerf
Alexandros Karargyris and Renato Umeton and Micah J Sheller and Alejandro Aristizabal and Johnu George and Anna Wuest and Sarthak Pati and Hasan Kassem and Maximilian Zenk and Ujjwal Baid and Prakash Narayana Moorthy and Alexander Chowdhury and Junyi Guo and Sahil Nalawade and Jacob Rosenthal and David Kanter and Maria Xenochristou and Daniel J Beutel and Verena Chung and Timothy Bergquist and James Eddy and Abubakar Abid and Lewis Tunstall and Omar Sanseviero and Dimitrios Dimitriadis and Yiming Qian and Xinxing Xu and Yong Liu and Rick Siow Mong Goh and Srini Bala and Victor Bittorf and Sreekar Reddy Puchala and Biagio Ricciuti and Soujanya Samineni and Eshna Sengupta and Akshay Chaudhari and Cody Coleman and Bala Desinghu and Gregory Diamos and Debo Dutta and Diane Feddema and Grigori Fursin and Xinyuan Huang and Satyananda Kashyap and Nicholas Lane and Indranil Mallick and FeTS Consortium and BraTS-2020 Consortium and AI4SafeChole Consortium and Pietro Mascagni and Virendra Mehta and Cassiano Ferro Moraes and Vivek Natarajan and Nikola Nikolov and Nicolas Padoy and Gennady Pekhimenko and Vijay Janapa Reddi and G Anthony Reina and Pablo Ribalta and Abhishek Singh and Jayaraman J Thiagarajan and Jacob Albrecht and Thomas Wolf and Geralyn Miller and Huazhu Fu and Prashant Shah and Daguang Xu and Poonam Yadav and David Talby and Mark M Awad and Jeremy P Howard and Michael Rosenthal and Luigi Marchionni and Massimo Loda and Jason M Johnson and Spyridon Bakas and Peter Mattson
2023
Speeding up fourier neural operators via mixed precision
Colin White and Renbo Tu and Jean Kossaifi and Gennady Pekhimenko and Kamyar Azizzadenesheli and Anima Anandkumar
2023
Arbitor: A Numerically Accurate Hardware Emulation Tool for {DNN} Accelerators
Chenhao Jiang and Anand Jayarajan and Hao Lu and Gennady Pekhimenko
2023
TorchProbe: Fuzzing Dynamic Deep Learning Compilers
Qidong Su and Chuqin Geng and Gennady Pekhimenko and Xujie Si
2023
Grape: Practical and Efficient Graphed Execution for Dynamic Deep Neural Networks on GPUs
Bojian Zheng and Cody Hao Yu and Jie Wang and Yaoyao Ding and Yizhi Liu and Yida Wang and Gennady Pekhimenko
2023
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
Renbo Tu and Colin White and Jean Kossaifi and Boris Bonev and Gennady Pekhimenko and Kamyar Azizzadenesheli and Anima Anandkumar
2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra
Andres Potapczynski and Marc Finzi and Geoff Pleiss and Andrew Gordon Wilson
2023
Managing ai risks in an era of rapid progress
Yoshua Bengio and Geoffrey Hinton and Andrew Yao and Dawn Song and Pieter Abbeel and Yuval Noah Harari and Ya-Qin Zhang and Lan Xue and Shai Shalev-Shwartz and Gillian Hadfield and Jeff Clune and Tegan Maharaj and Frank Hutter and Atılım Güneş Baydin and Sheila McIlraith and Qiqi Gao and Ashwin Acharya and David Krueger and Anca Dragan and Philip Torr and Stuart Russell and Daniel Kahneman and Jan Brauner and Sören Mindermann
2023
Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data
Aparna Balagopalan and David Madras and David H Yang and Dylan Hadfield-Menell and Gillian K Hadfield and Marzyeh Ghassemi
2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
Shalev Lifshitz and Keiran Paster and Harris Chan and Jimmy Ba and Sheila McIlraith
2023
Decomposed Prompting to Answer Questions on a Course Discussion Board
Brandon Jaipersaud and Paul Zhang and Jimmy Ba and Andrew Petersen and Lisa Zhang and Michael R Zhang
2023
Classifying Course Discussion Board Questions using LLMs
Paul Zhang and Brandon Jaipersaud and Jimmy Ba and Andrew Petersen and Lisa Zhang and Michael R Zhang
2023
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation
Zhaoyan Liu and Noël Vouitsis and Satya Krishna Gorti and Jimmy Ba and Gabriel Loaiza-Ganem
2023
Alpacafarm: A simulation framework for methods that learn from human feedback
Yann Dubois and Chen Xuechen Li and Rohan Taori and Tianyi Zhang and Ishaan Gulrajani and Jimmy Ba and Carlos Guestrin and Percy S Liang and Tatsunori B Hashimoto
2023
Inve: Interactive neural video editing
Jiahui Huang and Leonid Sigal and Kwang Moo Yi and Oliver Wang and Joon-Young Lee
2023
Uncertainty guided adaptive warping for robust and efficient stereo matching
Junpeng Jing and Jiankun Li and Pengfei Xiong and Jiangyu Liu and Shuaicheng Liu and Yichen Guo and Xin Deng and Mai Xu and Lai Jiang and Leonid Sigal
2023
Dinn360: Deformable invertible neural network for latitude-aware 360deg image rescaling
Yichen Guo and Mai Xu and Lai Jiang and Leonid Sigal and Yunjin Chen
2023
Subpixel Deblurring of Anti‐Aliased Raster Clip‐Art
Jinfan Yang and Nicholas Vining and Shakiba Kheradmand and Nathan Carr and Leonid Sigal and Alla Sheffer
2023
GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search
Muchen Li and Jeffrey Yunfan Liu and Leonid Sigal and Renjie Liao
2023
Weakly-supervised Spatially Grounded Concept Learner for Few-Shot Learning
Gaurav Bhatt and Deepayan Das and Leonid Sigal and Vineeth N Balasubramanian
2023
Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video
Mohammed Suhail and Erika Lu and Zhengqi Li and Noah Snavely and Leonid Sigal and Forrester Cole
2023
Riemannian langevin algorithm for solving semidefinite programs
Mufan Li and Murat A Erdogdu
2023
Towards a complete analysis of langevin monte carlo: Beyond poincaré inequality
Alireza Mousavi-Hosseini and Tyler K Farghly and Ye He and Krishna Balasubramanian and Murat A Erdogdu
2023
An analysis of Transformed Unadjusted Langevin Algorithm for Heavy-tailed Sampling
Ye He and Krishnakumar Balasubramanian and Murat A Erdogdu
2023
Attribute controlled dialogue prompting
Runcheng Liu and Ahmad Rashid and Ivan Kobyzev and Mehdi Rezagholizadeh and Pascal Poupart
2023
Contrastive Deterministic Autoencoders For Language Modeling
Amur Ghose and Pascal Poupart
2023
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
Guanren Qiao and Guiliang Liu and Pascal Poupart and Zhiqiang Xu
2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient
Yudong Luo and Guiliang Liu and Pascal Poupart and Yangchen Pan
2023
Batchnorm Allows Unsupervised Radial Attacks
Amur Ghose and Apurv Gupta and Yaoliang Yu and Pascal Poupart
2023
Do we need Label Regularization to Fine-tune Pretrained Language Models?
Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Pascal Poupart and Ali Ghodsi
2023
Copula-based deep survival models for dependent censoring
Ali Hossein Foomani Gharari, Michael Cooper, Russell Greiner, Rahul G Krishnan
2023
Machine learning in computational histopathology: Challenges and opportunities
Michael Cooper, Zongliang Ji, Rahul G Krishnan
2023
Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help?
Stephanie M Hu, Steven Horng, Seth J Berkowitz, Ruizhi Liao, Rahul G Krishnan, H Lehman Li-wei, Roger G Mark
2023
Automated screening of computed tomography using weakly supervised anomaly detection
Atsuhiro Hibi, Michael D Cusimano, Alexander Bilbily, Rahul G Krishnan, Pascal N Tyrrell
2023
Duett: Dual event time transformer for electronic health records
Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G Krishnan
2023
Deep learning analysis of endometrial histology as a promising tool to predict the chance of pregnancy after frozen embryo transfers
Tiantian Li and Renjie Liao and Crystal Chan and Ellen M Greenblatt
2023
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms
Masoud Mokhtari and Mobina Mahdavi and Hooman Vaseli and Christina Luong and Purang Abolmaesumi and Teresa SM Tsang and Renjie Liao
2023
Align your latents: High-resolution video synthesis with latent diffusion models
Andreas Blattmann and Robin Rombach and Huan Ling and Tim Dockhorn and Seung Wook Kim and Sanja Fidler and Karsten Kreis
2023
Voxformer: Sparse voxel transformer for camera-based 3d semantic scene completion
Yiming Li and Zhiding Yu and Christopher Choy and Chaowei Xiao and Jose M Alvarez and Sanja Fidler and Chen Feng and Anima Anandkumar
2023
Trace and pace: Controllable pedestrian animation via guided trajectory diffusion
Davis Rempe and Zhengyi Luo and Xue Bin Peng and Ye Yuan and Kris Kitani and Karsten Kreis and Sanja Fidler and Or Litany
2023
Neural fields meet explicit geometric representations for inverse rendering of urban scenes
Zian Wang and Tianchang Shen and Jun Gao and Shengyu Huang and Jacob Munkberg and Jon Hasselgren and Zan Gojcic and Wenzheng Chen and Sanja Fidler
2023
Texfusion: Synthesizing 3d textures with text-guided image diffusion models
Tianshi Cao and Karsten Kreis and Sanja Fidler and Nicholas Sharp and Kangxue Yin
2023
Neuralfield-ldm: Scene generation with hierarchical latent diffusion models
Seung Wook Kim and Bradley Brown and Kangxue Yin and Karsten Kreis and Katja Schwarz and Daiqing Li and Robin Rombach and Antonio Torralba and Sanja Fidler
2023
Learning physically simulated tennis skills from broadcast videos
Y Yuan and Viktor Makoviychuk and Y Guo and S Fidler and XB Peng and K Fatahalian
2023
Neural kernel surface reconstruction
Jiahui Huang and Zan Gojcic and Matan Atzmon and Or Litany and Sanja Fidler and Francis Williams
2023
Neural lidar fields for novel view synthesis
Shengyu Huang and Zan Gojcic and Zian Wang and Francis Williams and Yoni Kasten and Sanja Fidler and Konrad Schindler and Or Litany
2023
Learning human dynamics in autonomous driving scenarios
Jingbo Wang and Ye Yuan and Zhengyi Luo and Kevin Xie and Dahua Lin and Umar Iqbal and Sanja Fidler and Sameh Khamis
2023
End-to-end 3D Tracking with Decoupled Queries
Yanwei Li and Zhiding Yu and Jonah Philion and Anima Anandkumar and Sanja Fidler and Jiaya Jia and Jose Alvarez
2023
Towards Viewpoint Robustness in Bird’s Eye View Segmentation
Tzofi Klinghoffer and Jonah Philion and Wenzheng Chen and Or Litany and Zan Gojcic and Jungseock Joo and Ramesh Raskar and Sanja Fidler and Jose M Alvarez
2023
Emerging Pixel-level Semantic Knowledge in Diffusion Models
Koichi Namekata and Amirmojtaba Sabour and Sanja Fidler and Seung Wook Kim
2023
Fast Distributed k-Means with a Small Number of Rounds
Tom Hess and Ron Visbord and Sivan Sabato
2023
On the Capacity Limits of Privileged ERM
Michal Sharoni and Sivan Sabato
2023
Improved Robust Algorithms for Learning with Discriminative Feature Feedback
Sivan Sabato
2023
Memecap: A dataset for captioning and interpreting memes
EunJeong Hwang and Vered Shwartz
2023
What happens before and after: Multi-event commonsense in event coreference resolution
Sahithya Ravi and Chris Tanner and Raymond Ng and Vered Shwartz
2023
Comet-m: Reasoning about multiple events in complex sentences
Sahithya Ravi and Raymond Ng and Vered Shwartz
2023
From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds?
Jordan Coil and Vered Shwartz
2023
Knowledge Graph Compression Enhances Diverse Commonsense Generation
EunJeong Hwang and Veronika Thost and Vered Shwartz and Tengfei Ma
2023
CASE: Commonsense-Augmented Score with an Expanded Answer Space
Wenkai Chen and Sahithya Ravi and Vered Shwartz
2023
Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning
Maksym Taranukhin and Vered Shwartz and Evangelos Milios
2023
On the Risk of Misinformation Pollution with Large Language Models
Yikang Pan and Liangming Pan and Wenhu Chen and Preslav Nakov and Min-Yen Kan and William Yang Wang
2023
MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
Kai Zhang and Lingbo Mo and Wenhu Chen and Huan Sun and Yu Su
2023
TheoremQA: A Theorem-driven Question Answering dataset
Wenhu Chen and Ming Yin and Max Ku and Elaine Wan and Xueguang Ma and Jianyu Xu and Tony Xia and Xinyi Wang and Pan Lu
2023
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
LI Yizhi and Ruibin Yuan and Ge Zhang and Yinghao Ma and Xingran Chen and Hanzhi Yin and Chenghao Xiao and Chenghua Lin and Anton Ragni and Emmanouil Benetos and Norbert Gyenge and Roger Dannenberg and Ruibo Liu and Wenhu Chen and Gus Xia and Yemin Shi and Wenhao Huang and Zili Wang and Yike Guo and Jie Fu
2023
Few-shot In-context Learning for Knowledge Base Question Answering
Tianle Li and Xueguang Ma and Alex Zhuang and Yu Gu and Yu Su and Wenhu Chen
2023
DreamEdit: Subject-driven Image Editing
Tianle Li and Max Ku and Cong Wei and Wenhu Chen
2023
MARBLE: Music Audio Representation Benchmark for Universal Evaluation
Ruibin Yuan and Yinghao Ma and Yizhi Li and Ge Zhang and Xingran Chen and Hanzhi Yin and Le Zhuo and Yiqi Liu and Jiawen Huang and Zeyue Tian and Binyue Deng and Ningzhi Wang and Wenhu Chen and Gus Xia and Wei Xue and Si Liu and Shi Wang and Ruibo Liu and Yike Guo and Jie Fu
2023
MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response
Zihao Deng and Yinghao Ma and Yudong Liu and Rongchen Guo and Ge Zhang and Wenhu Chen and Wenhao Huang and Emmanouil Benetos
2023
EDIS: Entity-Driven Image Search over Multimodal Web Content
Siqi Liu and Weixi Feng and Wenhu Chen and William Yang Wang
2023
Hypernetwork-based personalized federated learning for multi-institutional CT imaging
Ziyuan Yang and Wenjun Xia and Zexin Lu and Yingyu Chen and Xiaoxiao Li and Yi Zhang
2023
BUDDY: molecular formula discovery via bottom-up MS/MS interrogation
Shipei Xing and Sam Shen and Banghua Xu and Xiaoxiao Li and Tao Huan
2023
Memoir study: Investigating image memorability across developmental stages
Gal Almog and Saeid Alavi Naeini and Yu Hu and Emma G Duerden and Yalda Mohsenzadeh
2023
Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers
Ji Xin and Raphael Tang and Zhiying Jiang and Yaoliang Yu and Jimmy Lin
2023
Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality
Haoye Lu and Daniel Herman and Yaoliang Yu
2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
Lifshitz, S.; Paster, K.; Chan, H.; Ba, J.; and McIlraith, S.
2023
ChemOS 2.0: An orchestration architecture for chemical self-driving laboratories
Malcolm Sim and Mohammad Ghazi Vakili and Felix Strieth-Kalthoff and Han Hao and Riley Hickman and Santiago Miret and Sergio Pablo-García and Alán Aspuru-Guzik
2023
Atlas: a brain for self-driving laboratories
Riley Hickman and Malcolm Sim and Sergio Pablo-García and Ivan Woolhouse and Han Hao and Zeqing Bao and Pauric Bannigan and Christine Allen and Matteo Aldeghi and Alán Aspuru-Guzik
2023
Fast quantum algorithm for differential equations
Mohsen Bagherimehrab and Kouhei Nakaji and Nathan Wiebe and Alán Aspuru-Guzik
2023
Olympus, enhanced: benchmarking mixed-parameter and multi-objective optimization in chemistry and materials science
Riley Hickman and Priyansh Parakh and Austin Cheng and Qianxiang Ai and Joshua Schrier and Matteo Aldeghi and Alán Aspuru-Guzik
2023
A composite measurement scheme for efficient quantum observable estimation
Zi-Jian Zhang and Kouhei Nakaji and Matthew Choi and Alán Aspuru-Guzik
2023
Anubis: Bayesian optimization with unknown feasibility constraints for scientific experimentation
Riley Hickman and Matteo Aldeghi and Alán Aspuru-Guzik
2023
Atom-by-atom protein generation and beyond with language models
Daniel Flam-Shepherd and Kevin Zhu and Alán Aspuru-Guzik
2023
Drug Discovery in Low Data Regimes: Leveraging a Computational Pipeline for the Discovery of Novel SARS-CoV-2 Nsp14-MTase Inhibitors
AkshatKumar Nigam and Matthew FD Hurley and Fengling Li and Eva Konkoǐová and Martin Klíma and Jana Trylčová and Robert Pollice and Süleyman Selim Çinaroǧlu and Roni Levin-Konigsberg and Jasemine Handjaya and Matthieu Schapira and Irene Chau and Sumera Perveen and Ho-Leung Ng and H Ümit Kaniskan and Yulin Han and Sukrit Singh and Christoph Gorgulla and Anshul Kundaje and Jian Jin and Vincent A Voelz and Jan Weber and Radim Nencka and Evzen Boura and Masoud Vedadi and Alán Aspuru-Guzik
2023
Artificial intelligence for science in quantum, atomistic, and continuum systems
Xuan Zhang and Limei Wang and Jacob Helwig and Youzhi Luo and Cong Fu and Yaochen Xie and Meng Liu and Yuchao Lin and Zhao Xu and Keqiang Yan and Keir Adams and Maurice Weiler and Xiner Li and Tianfan Fu and Yucheng Wang and Haiyang Yu and YuQing Xie and Xiang Fu and Alex Strasser and Shenglong Xu and Yi Liu and Yuanqi Du and Alexandra Saxton and Hongyi Ling and Hannah Lawrence and Hannes Stärk and Shurui Gui and Carl Edwards and Nicholas Gao and Adriana Ladera and Tailin Wu and Elyssa F Hofgard and Aria Mansouri Tehrani and Rui Wang and Ameya Daigavane and Montgomery Bohde and Jerry Kurtin and Qian Huang and Tuong Phung and Minkai Xu and Chaitanya K Joshi and Simon V Mathis and Kamyar Azizzadenesheli and Ada Fang and Alán Aspuru-Guzik and Erik Bekkers and Michael Bronstein and Marinka Zitnik and Anima Anandkumar and Stefano Ermon and Pietro Liò and Rose Yu and Stephan Günnemann and Jure Leskovec and Heng Ji and Jimeng Sun and Regina Barzilay and Tommi Jaakkola and Connor W Coley and Xiaoning Qian and Xiaofeng Qian and Tess Smidt and Shuiwang Ji
2023
Sorting Out Quantum Monte Carlo
Jack Richter-Powell and Luca Thiede and Alán Asparu-Guzik and David Duvenaud
2023
Efficient data encoding for deep neural network training
Amar Phanishayee and Gennady Pekhimenko and Animesh Jain
2023
Frontier AI regulation: Managing emerging risks to public safety
Markus Anderljung and Joslyn Barnhart and Jade Leung and Anton Korinek and Cullen O'Keefe and Jess Whittlestone and Shahar Avin and Miles Brundage and Justin Bullock and Duncan Cass-Beggs and Ben Chang and Tantum Collins and Tim Fist and Gillian Hadfield and Alan Hayes and Lewis Ho and Sara Hooker and Eric Horvitz and Noam Kolt and Jonas Schuett and Yonadav Shavit and Divya Siddarth and Robert Trager and Kevin Wolf
2023
International institutions for advanced AI
Lewis Ho and Joslyn Barnhart and Robert Trager and Yoshua Bengio and Miles Brundage and Allison Carnegie and Rumman Chowdhury and Allan Dafoe and Gillian Hadfield and Margaret Levi and Duncan Snidal
2023
Regulatory markets: The future of ai governance
Gillian K Hadfield and Jack Clark
2023
Regulatory Transformation in the Age of AI
Jamie Amarat Sandhu, NOAM KOLT, GILLIAN K HADFIELD
2023
Computing Power and the Governance of Artificial Intelligence
Girish Sastry and Lennart Heim and Haydn Belfield and Markus Anderljung and Miles Brundage and Julian Hazell and Cullen O'Keefe and Gillian K Hadfield and Richard Ngo and Konstantin Pilz and George Gor and Emma Bluemke and Sarah Shoker and Janet Egan and Robert F Trager and Shahar Avin and Adrian Weller and Yoshua Bengio and Diane Coyle
2023
Which Tokens to Use? Investigating Token Reduction in Vision Transformers
Joakim Bruslund Haurum and Sergio Escalera and Graham W Taylor and Thomas B Moeslund
2023
Zero-shot Clustering of Embeddings with Pretrained and Self-Supervised Learnt Encoders
Scott C Lowe and Joakim Bruslund Haurum and Sageev Oore and Thomas B Moeslund and Graham W Taylor
2023
Bandit-Driven Batch Selection for Robust Learning under Label Noise
Michal Lisicki and Graham W Taylor and Mihai Nica
2023
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data
Kevin Kasa and Graham W Taylor
2023
The Catalog Problem: Clustering and Ordering Variable-Sized Sets
Mateusz Maria Jurewicz and Graham W Taylor and Leon Derczynski
2023
BarcodeBERT: Transformers for Biodiversity Analysis
Pablo Millan Arias and Niousha Sadjadi and Monireh Safari and ZeMing Gong and Austin T Wang and Scott C Lowe and Joakim Bruslund Haurum and Iuliia Zarubiieva and Dirk Steinke and Lila Kari and Angel X Chang and Graham W Taylor
2023
OMNI: Open-endedness via Models of human Notions of Interestingness
Jenny Zhang and Joel Lehman and Kenneth Stanley and Jeff Clune
2023
First-Explore, then Exploit: Meta-Learning Intelligent Exploration
Ben Norman and Jeff Clune
2023
Quality Diversity through Human Feedback
Li Ding and Jenny Zhang and Jeff Clune and Lee Spector and Joel Lehman
2023
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
Lapo Frati and Neil Traft and Jeff Clune and Nick Cheney
2023
The Curse of Recursion: Training on Generated Data Makes Models Forget
Ilia Shumailov and Zakhar Shumaylov and Yiren Zhao and Yarin Gal and Nicolas Papernot and Ross Anderson
2023
Selective Prediction via Training Dynamics
Stephan Rabanser and Anvith Thudi and Kimia Hamidieh and Adam Dziedzic and Israfil Bahceci and Akram Bin Sediq and HAMZA SOKUN and Nicolas Papernot
2023
Reducing training data needs with minimal multilevel machine learning (M3L)
Stefan Heinen and Danish Khan and Guido Falk von Rudorff and Konstantin Karandashev and Daniel Jose Arismendi Arrieta and Alastair JA Price and Surajit Nandi and Arghya Bhowmik and Kersti Hermansson and O Anatole von Lilienfeld
2023
Evolutionary Monte Carlo of QM properties in chemical space: Electrolyte design
Konstantin Karandashev and Jan Weinreich and Stefan Heinen and Daniel Jose Arismendi Arrieta and Guido Falk von Rudorff and Kersti Hermansson and O Anatole von Lilienfeld
2023
Multi-catheter modelling in reconstructed 3D transrectal ultrasound images from prostate brachytherapy
Nicole Kitner and Jessica R Rodgers and Tamas Ungi and Martin Korzeniowski and Timothy Olding and Parvin Mousavi and Gabor Fichtinger
2023
A user-driven machine learning approach for RNA-based sample discrimination and hierarchical classification
Tashifa Imtiaz and Jina Nanayakkara and Alexis Fang and Danny Jomaa and Harrison Mayotte and Simona Damiani and Fiza Javed and Tristan Jones and Emily Kaczmarek and Flourish Omolara Adebayo and Uroosa Imtiaz and Yiheng Li and Richard Zhang and Parvin Mousavi and Neil Renwick and Kathrin Tyryshkin
2023
Molecular characterization of human peripheral nerves using desorption electrospray ionization mass spectrometry imaging
Diane Tomalty and Olivia Giovannetti and Leah Velikonja and Jasica Munday and Martin Kaufmann and Natasha Iaboni and Amoon Jamzad and Rachel Rubino and Gabor Fichtinger and Parvin Mousavi and Christopher JB Nicol and John F Rudan and Michael A Adams
2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise
Fahimeh Fooladgar and Minh Nguyen Nhat To and Parvin Mousavi and Purang Abolmaesumi
2023
A Review of Low-cost Ultrasound Compatible Phantoms
Leah A Groves and Mohamed Keita and Saidou Talla and Ron Kikinis and Gabor Fichtinger and Parvin Mousavi and Mamadou Camara
2023
Cautery tool state detection using deep learning on intraoperative surgery videos
L March and JR Rodgers and R Hisey and A Jamzad and AML Santilli and D McKay and JF Rudan and M Kaufmann and KYM Ren and G Fichtinger and P Mousavi
2023
Cautery trajectory analysis for evaluation of resection margins in breast-conserving surgery
Chris Yeung and Joshua Ehrlich and Amoon Jamzad and Martin Kaufmann and John Rudan and Cecil Jay Engel and Parvin Mousavi and Tamas Ungi and Gabor Fichtinger
2023
Self-supervised learning and uncertainty estimation for surgical margin detection
Ayesha Syeda and Fahimeh Fooladgar and Amoon Jamzad and Dilakshan Srikanthan and Martin Kaufmann and Kevin Ren and Jay Engel and Ross Walker and Shaila Merchant and Doug McKay and Sonal Varma and Gabor Fichtinger and John Rudan and Parvin Mousavi
2023
Navigated surgical resection cavity inspection for breast conserving surgery
Olivia Radcliffe and Laura Connolly and Tamas Ungi and Caitlin Yeo and John F Rudan and Gabor Fichtinger and Parvin Mousavi
2023
ViPRE: an open-source software implementation for end-to-end analysis of mass spectrometry data
H Elmi and A Jamzad and M Sharp and JR Rodgers and M Kaufmann and T Jamaspishvili and R Iseman and D Berman and J Rudan and G Fichtinger and P Mousavi
2023
Determining the time-delay of a mass spectrometry-based tissue sensor
J Ehrlich and C Yeung and M Kaufman and A Jamzad and J Rudan and P Mousavi and G Fichtinger and T Ungi
2023
Tracked tissue sensing for tumor bed inspection
David Morton and Laura Connolly and Leah Groves and Kyle Sunderland and Amoon Jamzad and John F Rudan and Gabor Fichtinger and Tamas Ungi and Parvin Mousavi
2023
Development of a Research Testbed for Intraoperative Optical Spectroscopy Tumor Margin Assessment
David Morton, Laura Connolly, Leah Groves, Kyle Sunderland, Tamas Ungi, Amoon Jamzad, Martin Kaufmann, Kevin Ren, John F Rudan, Gabor Fichtinger, Parvin Mousavi
2023
A clinical application of SlicerROS2: Virtual fixture guidance in breast conserving surgery
Laura Connolly Anton Deguet Tamas Ungi Aravind Kumar Aravind Kumar Andras Lasso Kyle SunderlandAxel Krieger Simon Leonard Gabor Fichtinger Parvin Mousavi Russell Taylor
2023
Gemtrans: A general, echocardiography-based, multi-level transformer framework for cardiovascular diagnosis
Masoud Mokhtari and Neda Ahmadi and Teresa SM Tsang and Purang Abolmaesumi and Renjie Liao
2023
Studying large language model generalization with influence functions
Roger Grosse and Juhan Bae and Cem Anil and Nelson Elhage and Alex Tamkin and Amirhossein Tajdini and Benoit Steiner and Dustin Li and Esin Durmus and Ethan Perez and Evan Hubinger and Kamilė Lukošiūtė and Karina Nguyen and Nicholas Joseph and Sam McCandlish and Jared Kaplan and Samuel R Bowman
2023
Automatic Evaluation of Generative Models with Instruction Tuning
Shuhaib Mehri and Vered Shwartz
2023
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Xiang Yue and Xingwei Qu and Ge Zhang and Yao Fu and Wenhao Huang and Huan Sun and Yu Su and Wenhu Chen
2023
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Xiang Yue and Yuansheng Ni and Kai Zhang and Tianyu Zheng and Ruoqi Liu and Ge Zhang and Samuel Stevens and Dongfu Jiang and Weiming Ren and Yuxuan Sun and Cong Wei and Botao Yu and Ruibin Yuan and Renliang Sun and Ming Yin and Boyuan Zheng and Zhenzhu Yang and Yibo Liu and Wenhao Huang and Huan Sun and Yu Su and Wenhu Chen
2023
Interactive Natural Language Processing
Zekun Wang and Ge Zhang and Kexin Yang and Ning Shi and Wangchunshu Zhou and Shaochun Hao and Guangzheng Xiong and Yizhi Li and Mong Yuan Sim and Xiuying Chen and Qingqing Zhu and Zhenzhu Yang and Adam Nik and Qi Liu and Chenghua Lin and Shi Wang and Ruibo Liu and Wenhu Chen and Ke Xu and Dayiheng Liu and Yike Guo and Jie Fu
2023
Kosmos-G: Generating Images in Context with Multimodal Large Language Models
Xichen Pan and Li Dong and Shaohan Huang and Zhiliang Peng and Wenhu Chen and Furu Wei
2023
LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
Le Zhuo and Ruibin Yuan and Jiahao Pan and Yinghao Ma and Yizhi LI and Ge Zhang and Si Liu and Roger Dannenberg and Jie Fu and Chenghua Lin and Emmanouil Benetos and Wenhu Chen and Wei Xue and Yike Guo
2023
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation
Max Ku and Dongfu Jiang and Cong Wei and Xiang Yue and Wenhu Chen
2023
Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering
Yubo Wang and Xueguang Ma and Wenhu Chen
2023
TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks
Dongfu Jiang and Yishan Li and Ge Zhang and Wenhao Huang and Yuchen Lin and Wenhu Chen
2023
ImagenHub: Standardizing the evaluation of conditional image generation models
Max Ku and Tianle Li and Kai Zhang and Yujie Lu and Xingyu Fu and Wenwen Zhuang and Wenhu Chen
2023
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
Cong Wei and Yang Chen and Haonan Chen and Hexiang Hu and Ge Zhang and Jie Fu and Alan Ritter and Wenhu Chen
2023
Federated Adversarial Learning: A Framework with Convergence Analysis
Xiaoxiao Li and Zhao Song and Jiaming Yang
2023
Backdoor attack and defence in federated generative adversarial network-based medical image synthesis
Ruinan Jin and Xiaoxiao Li
2023
Community-Aware Transformer for Autism Prediction in fMRI Connectome
Anushree Bannadabhavi and Soojin Lee and Wenlong Deng and Xiaoxiao Li
2023
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
Minghui Chen and Meirui Jiang and Qi Dou and Zehua Wang and Xiaoxiao Li
2023
Forgettable federated linear learning with certified data removal
Ruinan Jin and Minghui Chen and Qiong Zhang and Xiaoxiao Li
2023
Noisy intermediate-scale quantum algorithms
Kishor Bharti and Alba Cervera-Lierta and Thi Ha Kyaw and Tobias Haug and Sumner Alperin-Lea and Abhinav Anand and Matthias Degroote and Hermanni Heimonen and Jakob S Kottmann and Tim Menke and Wai-Keong Mok and Sukin Sim and Leong-Chuan Kwek and Alán Aspuru-Guzik
2022
A comprehensive discovery platform for organophosphorus ligands for catalysis
Tobias Gensch and Gabriel dos Passos Gomes and Pascal Friederich and Ellyn Peters and Theophile Gaudin and Robert Pollice and Kjell Jorner and AkshatKumar Nigam and Michael Lindner-D’Addario and Matthew S Sigman and Alan Aspuru-Guzik
2022
Experimental high-dimensional greenberger-horne-zeilinger entanglement with superconducting transmon qutrits
Alba Cervera-Lierta and Mario Krenn and Alán Aspuru-Guzik and Alexey Galda
2022
Optimized low-depth quantum circuits for molecular electronic structure using a separable-pair approximation
Jakob S Kottmann and Alán Aspuru-Guzik
2022
Routescore: Punching the ticket to more efficient materials development
Martin Seifrid and Riley J Hickman and Andrés Aguilar-Granda and Cyrille Lavigne and Jenya Vestfrid and Tony C Wu and Théophile Gaudin and Emily J Hopkins and Alán Aspuru-Guzik
2022
Correction to “Generative Adversarial Networks for Crystal Structure Prediction”
Sungwon Kim and Juhwan Noh and Geun Ho Gu and Alan Aspuru-Guzik and Yousung Jung
2022
Updated Calibrated Model for the Prediction of Molecular Frontier Orbital Energies and Its Application to Boron Subphthalocyanines
Devon P Holst and Pascal Friederich and Alán Aspuru-Guzik and Timothy P Bender
2022
A Materials Acceleration Platform for Organic Laser Discovery
Tony C Wu and Andrés Aguilar Granda and Kazuhiro Hotta and Sahar Alasvand Yazdani and Robert Pollice and Jenya Vestfrid and Han Hao and Cyrille Lavigne and Martin Seifrid and Nicholas Angello and Fatima Bencheikh and Jason E Hein and Martin Burke and Chihaya Adachi and Alán Aspuru-Guzik
2022
Toward Quantum Computing with Molecular Electronics
Phillip WK Jensen and Lasse Bjørn Kristensen and Cyrille Lavigne and Alán Aspuru-Guzik
2022
Understanding and Mitigating the Limitations of Prioritized Replay
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Visualizing privacy-utility trade-offs in differentially private data releases
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Autoregressive neural network for simulating open quantum systems via a probabilistic formulation
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A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
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Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum
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CanDIG: Federated network across Canada for multi-omic and health data discovery and analysis
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Linearizing Contextual Bandits with Latent State Dynamics
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Three-dimensional object detection
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Compression of images having overlapping fields of view using machine-learned models
Jerry Junkai Liu and Shenlong Wang and Raquel Urtasun
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Compression of Machine-Learned Models by Vector Quantization
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System and method for identifying travel way features for autonomous vehicle motion control
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Embedding Ethics in Computer Science Courses: Does it Work?
Diane Horton and Sheila A McIlraith and Nina Wang and Maryam Majedi and Emma McClure and Benjamin Wald
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Conditional Generative Quantile Networks via Optimal Transport
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An orbital-based representation for accurate quantum machine learning
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Max Schwilk and Pal Mezei and Diana N Tahchieva and Anatole von Lilienfeld
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Visualizing privacy-utility trade-offs in differentially private data releases
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The role of adaptive optimizers for honest private hyperparameter selection
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Cache me if you can: Accuracy-aware inference engine for differentially private data exploration
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MIDE: accuracy aware minimally invasive data exploration for decision support
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Dave Archer and Michael A August and Georgios Bouloukakis and Christopher Davison and Mamadou H Diallo and Dhrubajyoti Ghosh and Christopher T Graves and Michael Hay and Xi He and Peeter Laud and Steve Lu and Ashwin Machanavajjhala and Sharad Mehrotra and Gerome Miklau and Alisa Pankova and Shantanu Sharma and Nalini Venkatasubramanian and Guoxi Wang and Roberto Yus
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Learning to cut by looking ahead: Cutting plane selection via imitation learning
Max B Paulus and Giulia Zarpellon and Andreas Krause and Laurent Charlin and Chris Maddison
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Optimal Representations for Covariate Shift
Yangjun Ruan and Yann Dubois and Chris J Maddison
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Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem
Haonan Duan and Pashootan Vaezipoor and Max B Paulus and Yangjun Ruan and Chris J Maddison
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Maxime Gasse and Simon Bowly and Quentin Cappart and Jonas Charfreitag and Laurent Charlin and Didier Chételat and Antonia Chmiela and Justin Dumouchelle and Ambros Gleixner and Aleksandr M Kazachkov and Elias Khalil and Pawel Lichocki and Andrea Lodi and Miles Lubin and Chris J Maddison and Morris Christopher and Dimitri J Papageorgiou and Augustin Parjadis and Sebastian Pokutta and Antoine Prouvost and Lara Scavuzzo and Giulia Zarpellon and Linxin Yang and Sha Lai and Akang Wang and Xiaodong Luo and Xiang Zhou and Haohan Huang and Shengcheng Shao and Yuanming Zhu and Dong Zhang and Tao Quan and Zixuan Cao and Yang Xu and Zhewei Huang and Shuchang Zhou and Chen Binbin and He Minggui and Hao Hao and Zhang Zhiyu and An Zhiwu and Mao Kun
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Bayesian nonparametrics for offline skill discovery
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Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
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MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
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Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering
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Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
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HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data
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DePlot: One-shot visual language reasoning by plot-to-table translation
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Controllable Dialogue Simulation with In-Context Learning
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QA Is the New KR: Question-Answer Pairs as Knowledge Bases
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Using meta-information in neural machine translation
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Federated learning and differential privacy for medical image analysis
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Bulk arthropod abundance, biomass and diversity estimation using deep learning for computer vision
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On evaluation metrics for graph generative models
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Similarity learning networks for animal individual re-identification: an ecological perspective
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Predicting dreissenid mussel abundance in nearshore waters using underwater imagery and deep learning
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The gist and rist of iterative self-training for semi-supervised segmentation
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Learning with Less Labels in Digital Pathology Via Scribble Supervision from Natural Images
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Getting the Bugs Out: Entomology Using Computer Vision
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Bounding generalization error with input compression: An empirical study with infinite-width networks
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Understanding the impact of image and input resolution on deep digital pathology patch classifiers
Eu Wern Teh and Graham W Taylor
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Understanding the impact of image and input resolution on deep digital pathology patch classifiers
Eu Wern Teh and Graham W Taylor
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DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software
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Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays
Ao Chen and Sha Liao and Mengnan Cheng and Kailong Ma and Liang Wu and Yiwei Lai and Xiaojie Qiu and Jin Yang and Jiangshan Xu and Shijie Hao and Xin Wang and Huifang Lu and Xi Chen and Xing Liu and Xin Huang and Zhao Li and Yan Hong and Yujia Jiang and Jian Peng and Shuai Liu and Mengzhe Shen and Chuanyu Liu and Quanshui Li and Yue Yuan and Xiaoyu Wei and Huiwen Zheng and Weimin Feng and Zhifeng Wang and Yang Liu and Zhaohui Wang and Yunzhi Yang and Haitao Xiang and Lei Han and Baoming Qin and Pengcheng Guo and Guangyao Lai and Pura Muñoz-Cánoves and Patrick H Maxwell and Jean Paul Thiery and Qing-Feng Wu and Fuxiang Zhao and Bichao Chen and Mei Li and Xi Dai and Shuai Wang and Haoyan Kuang and Junhou Hui and Liqun Wang and Ji-Feng Fei and Ou Wang and Xiaofeng Wei and Haorong Lu and Bo Wang and Shiping Liu and Ying Gu and Ming Ni and Wenwei Zhang and Feng Mu and Ye Yin and Huanming Yang and Michael Lisby and Richard J Cornall and Jan Mulder and Mathias Uhlén and Miguel A Esteban and Yuxiang Li and Longqi Liu and Xun Xu and Jian Wang
Athanasios Kousathanas and Erola Pairo-Castineira and Konrad Rawlik and Alex Stuckey and Christopher A Odhams and Susan Walker and Clark D Russell and Tomas Malinauskas and Yang Wu and Jonathan Millar and Xia Shen and Katherine S Elliott and Fiona Griffiths and Wilna Oosthuyzen and Kirstie Morrice and Sean Keating and Bo Wang and Daniel Rhodes and Lucija Klaric and Marie Zechner and Nick Parkinson and Afshan Siddiq and Peter Goddard and Sally Donovan and David Maslove and Alistair Nichol and Malcolm G Semple and Tala Zainy and Fiona Maleady-Crowe and Linda Todd and Shahla Salehi and Julian Knight and Greg Elgar and Georgia Chan and Prabhu Arumugam and Christine Patch and Augusto Rendon and David Bentley and Clare Kingsley and Jack A Kosmicki and Julie E Horowitz and Aris Baras and Goncalo R Abecasis and Manuel AR Ferreira and Anne Justice and Tooraj Mirshahi and Matthew Oetjens and Daniel J Rader and Marylyn D Ritchie and Anurag Verma and Tom A Fowler and Manu Shankar-Hari and Charlotte Summers and Charles Hinds and Peter Horby and Lowell Ling and Danny McAuley and Hugh Montgomery and Peter JM Openshaw and Paul Elliott and Timothy Walsh and Albert Tenesa and Guy’s and St Thomas’ Hospital team Arbane Gill 62 Bociek Aneta 62 Campos Sara 62 Grau Neus 62 Jones Tim Owen 62 Lim Rosario 62 Marotti Martina 62 Ostermann Marlies 62 Shankar-Hari Manu 62 Whitton Christopher 62 and James Cook University Hospital team Bonner Stephen 64 Hugill Keith 64 Jones Jessica 64 Liggett Steven 64 Headlam Evie 64 and Royal Stoke University Hospital team Bandla Nageswar 65 Gellamucho Minnie 65 Davies Michelle 65 Thompson Christopher 65 and Royal Liverpool University Hospital team Fernandez-Roman Jaime 68 Hamilton David O. 68 Johnson Emily 68 Johnston Brian 68 Martinez Maria Lopez 68 Mulla Suleman 68 Shaw David 68 Waite Alicia AC 68 Waugh Victoria 68 Welters Ingeborg D. 68 Williams Karen 68 and Charing Cross Hospital team Antcliffe David 70 Banach Dorota 70 Brett Stephen 70 Coghlan Phoebe 70 Fernandez Ziortza 70 Gordon Anthony 70 Rojo Roceld 70 Arias Sonia Sousa 70 Templeton Maie 70 and Nottingham University Hospital team Meredith Megan 71 Morris Lucy 71 Ryan Lucy 71 Clark Amy 71 Sampson Julia 71 Peters Cecilia 71 Dent Martin 71 Langley Margaret 71 Ashraf Saima 71 Wei Shuying 71 Andrew Angela 71 and John Radcliffe Hospital team Bashyal Archana 72 Davidson Neil 72 Hutton Paula 72 McKechnie Stuart 72 Wilson Jean 72 and Royal Infirmary of Edinburgh team Andrew Gillian 75 Baillie J. Kenneth 75 Barclay Lucy 75 Callaghan Marie 75 Campbell Rachael 75 Clark Sarah 75 Hope Dave 75 Marshall Lucy 75 McCulloch Corrienne 75 Briton Kate 75 Singleton Jo 75 Birch Sophie 75 and Queen Alexandra Hospital team Brimfield Lutece 76 Daly Zoe 76 Pogson David 76 Rose Steve 76 Nown Angela 76 and Morriston Hospital team Battle Ceri 77 Brinkworth Elaine 77 Harford Rachel 77 Murphy Carl 77 Newey Luke 77 Rees Tabitha 77 Williams Marie 77 Arnold Sophie 77 and Addenbrooke’s Hospital team Polgarova Petra 78 Stroud Katerina 78 Summers Charlotte 78 Meaney Eoghan 78 Jones Megan 78 Ng Anthony 78 Agrawal Shruti 78 Pathan Nazima 78 White Deborah 78 Daubney Esther 78 Elston Kay 78 and BHRUT (Barking Havering)—Queen’s Hospital and King George Hospital team Grauslyte Lina 79 Hussain Musarat 79 Phull Mandeep 79 Pogreban Tatiana 79 Rosaroso Lace 79 Salciute Erika 79 Franke George 79 Wong Joanna 79 George Aparna 79 and Royal Sussex County Hospital team de Gordoa Laura Ortiz-Ruiz 80 Peasgood Emily 80 Phillips Claire 80 and Queen Elizabeth Hospital team Bates Michelle 81 Dasgin Jo 81 Gill Jaspret 81 Nilsson Annette 81 Scriven James 81 Collins Amy 82 Khaliq Waqas 82 Gude Estefania Treus 82 and Stepping Hill Hospital team Bennett Sara 84 Goodwin Emma 84 Jackson Matthew 84 Kent Alissa 84 Tibke Clare 84 Woodyatt Wiesia 84 Zaki Ahmed 84 and Tunbridge Wells Hospital and Maidstone Hospital team Davey Miriam 87 Golden David 87 Seaman Rebecca 87 and Royal Gwent Hospital team Cherian Shiney 88 Cutler Sean 88 Heron Anne Emma 88 Roynon-Reed Anna 88 Szakmany Tamas 88 Williams Gemma 88 Richards Owen 88 Cheema Yusuf 88 and Royal Berkshire NHS Foundation Trust team Brunton Mark 90 Caterson Jess 90 Coles Holly 90 Frise Matthew 90 Rai Sabi Gurung 90 Jacques Nicola 90 Keating Liza 90 Tilney Emma 90 Bartley Shauna 90 Bhuie Parminder 90 and Broomfield Hospital team Gibson Sian 91 Lyle Amanda 91 McNeela Fiona 91 Radhakrishnan Jayachandran 91 Hughes Alistair 91 and Northumbria Healthcare NHS Foundation Trust team Yates Bryan 92 Reynolds Jessica 92 Campbell Helen 92 Thompsom Maria 92 Dodds Steve 92 Duffy Stacey 92 and Whiston Hospital team Greer Sandra 93 Shuker Karen 93 Tridente Ascanio 93 and Croydon University Hospital team Khade Reena 94 Sundar Ashok 94 Tsinaslanidis George 94 and York Hospital team Birkinshaw Isobel 95 Carter Joseph 95 Howard Kate 95 Ingham Joanne 95 Joy Rosie 95 Pearson Harriet 95 Roche Samantha 95 Scott Zoe 95 and Heartlands Hospital team Bancroft Hollie 96 Bellamy Mary 96 Carmody Margaret 96 Daglish Jacqueline 96 Moore Faye 96 Rhodes Joanne 96 Sangombe Mirriam 96 Kadiri Salma 96 Scriven James 96 and Ashford and St Peter’s Hospital team Croft Maria 97 White Ian 97 Frost Victoria 97 Aquino Maia 97 and Barnet Hospital team Jha Rajeev 98 Krishnamurthy Vinodh 98 Lim Lai 98 Lim Li 98 and East Surrey Hospital team Combes Edward 99 Joefield Teishel 99 Monnery Sonja 99 Beech Valerie 99 Trotman Sallyanne 99 and Ninewells Hospital team Almaden-Boyle Christine 100 Austin Pauline 100 Cabrelli Louise 100 Cole Stephen 100 Casey Matt 100 Chapman Susan 100 Whyte Clare 100 and Southampton General Hospital team Criste Kristine 103 Cusack Rebecca 103 Golder Kim 103 Golding Hannah 103 Jones Oliver 103 Leggett Samantha 103 Male Michelle 103 Marani Martyna 103 Prager Kirsty 103 Williams Toran 103 Roberts Belinda 103 Salmon Karen 103 and Blackpool Victoria Hospital team Benham Leonie 106 Bradshaw Zena 106 Brown Joanna 106 Caswell Melanie 106 Cupitt Jason 106 Melling Sarah 106 Preston Stephen 106 Slawson Nicola 106 Stoddard Emma 106 Warden Scott 106 and Royal Glamorgan Hospital team Deacon Bethan 107 Lynch Ceri 107 Pothecary Carla 107 Roche Lisa 107 Howe Gwenllian Sera 107 Singh Jayaprakash 107 Turner Keri 107 Ellis Hannah 107 Stroud Natalie 107 and Royal Oldham Hospital team Hunt Jodie 108 Dearden Joy 108 Dobson Emma 108 Drummond Andy 108 Mulcahy Michelle 108 Munt Sheila 108 O’Connor Grainne 108 Philbin Jennifer 108 Rishton Chloe 108 Tully Redmond 108 Winnard Sarah 108 and Glasgow Royal Infirmary team Cathcart Susanne 109 Duffy Katharine 109 Puxty Alex 109 Puxty Kathryn 109 Turner Lynne 109 Ireland Jane 109 Semple Gary 109 and St James’s University Hospital and Leeds General Infirmary team Long Kate 110 Whiteley Simon 110 Wilby Elizabeth 110 Ogg Bethan 110 and University Hospital North Durham team Cowton Amanda 111 112 Kay Andrea 111 112 Kent Melanie 111 112 Potts Kathryn 111 112 Wilkinson Ami 111 112 Campbell Suzanne 111 112 Brown Ellen 111 112 and Fairfield General Hospital team Melville Julie 113 Naisbitt Jay 113 Joseph Rosane 113 Lazo Maria 113 Walton Olivia 113 Neal Alan 113 and Wythenshawe Hospital team Alexander Peter 114 Allen Schvearn 114 Bradley-Potts Joanne 114 Brantwood Craig 114 Egan Jasmine 114 Felton Timothy 114 Padden Grace 114 Ward Luke 114 Moss Stuart 114 Glasgow Susannah 114 and Royal Alexandra Hospital team Abel Lynn 115 Brett Michael 115 Digby Brian 115 Gemmell Lisa 115 Hornsby James 115 MacGoey Patrick 115 O’Neil Pauline 115 Price Richard 115 Rodden Natalie 115 Rooney Kevin 115 Sundaram Radha 115 Thomson Nicola 115 and Good Hope Hospital team Hopkins Bridget 116 Scriven James 116 Thrasyvoulou Laura 116 Willis Heather 116 and Tameside General Hospital team Clark Martyn 117 Coulding Martina 117 Jude Edward 117 McCormick Jacqueline 117 Mercer Oliver 117 Potla Darsh 117 Rehman Hafiz 117 Savill Heather 117 Turner Victoria 117 and Royal Derby Hospital team Downes Charlotte 118 Holding Kathleen 118 Riches Katie 118 Hilton Mary 118 Hayman Mel 118 Subramanian Deepak 118 Daniel Priya 118 and Medway Maritime Hospital team Adanini Oluronke 119 Bhatia Nikhil 119 Msiska Maines 119 Collins Rebecca 119 and Poole Hospital team Camsooksai Julie 121 Humphrey Charlotte 121 Jenkins Sarah 121 Reschreiter Henrik 121 Wadams Beverley 121 Death Yasmin 121 and Queens Hospital Burton team Bell Gillian 123 English Katy 123 Katary Amro 123 Wilcox Louise 123 and Aberdeen Royal Infirmary team Allan Angela 125 Anderson Felicity 125 Kaye Callum 125 Liew Jade 125 Medhora Jasmine 125 Scott Teresa 125 Trumper Erin 125 Botello Adriana 125 and Derriford Hospital team Lankester Liana 126 Nikitas Nikitas 126 Wells Colin 126 Stowe Bethan 126 Spencer Kayleigh 126 and Manchester Royal Infirmary team Brandwood Craig 127 Smith Lara 127 Clark Richard 127 Birchall Katie 127 Kolakaluri Laurel 127 Baines Deborah 127 Sukumaran Anila 127 and William Harvey Hospital team Cosier Tracey 129 Millen Gemma 129 Richardson Neil 129 Schumacher Natasha 129 Weston Heather 129 Rand James 129 and Queen Elizabeth University Hospital team Baxter Nicola 130 Henderson Steven 130 Kennedy-Hay Sophie 130 McParland Christopher 130 Rooney Laura 130 Sim Malcolm 130 McCreath Gordan 130 and Bristol Royal Infirmary team Bewley Jeremy 132 Garland Zoe 132 Grimmer Lisa 132 Gumbrill Bethany 132 Johnson Rebekah 132 Sweet Katie 132 Webster Denise 132 Efford Georgia 132 and Norfolk and Norwich University Hospital (NNUH) team Convery Karen 133 Fottrell-Gould Deirdre 133 Hudig Lisa 133 Keshet-Price Jocelyn 133 Randell Georgina 133 Stammers Katie 133 and Queen Elizabeth Hospital Gateshead team Bokhari Maria 134 Linnett Vanessa 134 Lucas Rachael 134 McCormick Wendy 134 Ritzema Jenny 134 Sanderson Amanda 134 Wild Helen 134 and Sunderland Royal Hospital team Rostron Anthony 135 Roy Alistair 135 Woods Lindsey 135 Cornell Sarah 135 Wakinshaw Fiona 135 Rogerson Kimberley 135 Jarmain Jordan 135 and Aintree University Hospital team Parker Robert 136 Reddy Amie 136 Turner-Bone Ian 136 Wilding Laura 136 Harding Peter 136 and Hull Royal Infirmary team Abernathy Caroline 137 Foster Louise 137 Gratrix Andrew 137 Martinson Vicky 137 Parkinson Priyai 137 Stones Elizabeth 137 Carbral-Ortega Llucia 138 and University College Hospital team Bercades Georgia 139 Brealey David 139 Hass Ingrid 139 MacCallum Niall 139 Martir Gladys 139 Raith Eamon 139 Reyes Anna 139 Smyth Deborah 139 and Royal Devon and Exeter Hospital team Zitter Letizia 140 Benyon Sarah 140 Marriott Suzie 140 Park Linda 140 Keenan Samantha 140 Gordon Elizabeth 140 Quinn Helen 140 Baines Kizzy 140 and Royal Papworth Hospital team Cagova Lenka 141 Fofano Adama 141 Garner Lucie 141 Holcombe Helen 141 Mepham Sue 141 Mitchell Alice Michael 141 Mwaura Lucy 141 Praman Krithivasan 141 Vuylsteke Alain 141 Zamikula Julie 141 and Ipswich Hospital team Purewal Bally 142 Rivers Vanessa 142 Bell Stephanie 142 and Southmead Hospital team Blakemore Hayley 143 Borislavova Borislava 143 Faulkner Beverley 143 Gendall Emma 143 Goff Elizabeth 143 Hayes Kati 143 Thomas Matt 143 Worner Ruth 143 Smith Kerry 143 Stephens Deanna 143 and Milton Keynes University Hospital team Mew Louise 144 Mwaura Esther 144 Stewart Richard 144 Williams Felicity 144 Wren Lynn 144 Sutherland Sara-Beth 144 and Royal Hampshire County Hospital team Bevan Emily 145 Martin Jane 145 Trodd Dawn 145 Watson Geoff 145 Wrey Brown Caroline 145 and Stoke Mandeville Hospital team Burn Iona 147 Hambrook Geraldine 147 Manso Katarina 147 Penn Ruth 147 Shanmugasundaram Pradeep 147 Tebbutt Julie 147 Thornton Danielle 147 and University Hospital of Wales team Cole Jade 148 Davies Michelle 148 Davies Rhys 148 Duffin Donna 148 Hill Helen 148 Player Ben 148 Thomas Emma 148 Williams Angharad 148 and Basingstoke and North Hampshire Hospital team Griffin Denise 149 Muchenje Nycola 149 Mupudzi Mcdonald 149 Partridge Richard 149 Conyngham Jo-Anna 149 Thomas Rachel 149 Wright Mary 149 Corral Maria Alvarez 149 and Arrowe Park Hospital team Jacob Reni 150 Jones Cathy 150 Denmade Craig 150 and Chesterfield Royal Hospital Foundation Trust team Beavis Sarah 151 Dale Katie 151 Gascoyne Rachel 151 Hawes Joanne 151 Pritchard Kelly 151 Stevenson Lesley 151 Whileman Amanda 151 and Musgrove Park Hospital team Doble Patricia 152 Hutter Joanne 152 Pawley Corinne 152 Shovelton Charmaine 152 Vaida Marius 152 and Peterborough City Hospital team Butcher Deborah 153 154 O’Sullivan Susie 153 154 Butterworth-Cowin Nicola 153 154
2022
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2022
Artificial intelligence for the echocardiographic assessment of valvular heart disease
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2022
Colony stimulating factor-1 producing endothelial cells and mesenchymal stromal cells maintain monocytes within a perivascular bone marrow niche
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2022
A sequence-to-sequence approach for document-level relation extraction
John Giorgi and Gary D Bader and Bo Wang
2022
DeepVelo: Deep Learning extends RNA velocity to multi-lineage systems with cell-specific kinetics
Haotian Cui and Hassaan Maan and Michael D Taylor and Bo Wang
2022
BIONIC: biological network integration using convolutions
Duncan T Forster and Sheena C Li and Yoko Yashiroda and Mami Yoshimura and Zhijian Li and Luis Alberto Vega Isuhuaylas and Kaori Itto-Nakama and Daisuke Yamanaka and Yoshikazu Ohya and Hiroyuki Osada and Bo Wang and Gary D Bader and Charles Boone
2022
Comparison of machine learning and the regression-based EHMRG model for predicting early mortality in acute heart failure
David E Austin and Douglas S Lee and Chloe X Wang and Shihao Ma and Xuesong Wang and Joan Porter and Bo Wang
2022
The promise of machine learning applications in solid organ transplantation
Neta Gotlieb and Amirhossein Azhie and Divya Sharma and Ashley Spann and Nan-Ji Suo and Jason Tran and Ani Orchanian-Cheff and Bo Wang and Anna Goldenberg and Michael Chassé and Heloise Cardinal and Joseph Paul Cohen and Andrea Lodi and Melanie Dieude and Mamatha Bhat
2022
Factors associated with SARS-CoV-2 test positivity in long-term care homes: a population-based cohort analysis using machine learning
Douglas S Lee and Chloe X Wang and Finlay A McAlister and Shihao Ma and Anna Chu and Paula A Rochon and Padma Kaul and Peter C Austin and Xuesong Wang and Sunil V Kalmady and Jacob A Udell and Michael J Schull and Barry B Rubin and Bo Wang
2022
A biomarker assay to risk-stratify patients with symptoms of respiratory tract infection
Shahid Husain and Andrew T Sage and Lorenzo Del Sorbo and Marcelo Cypel and Tereza Martinu and Stephen C Juvet and Andrea Mariscal and Julie Wright and Bonnie T Chao and Alaa A Shamandy and S Hossein Mousavi and Jin Ma and Bo Wang and Jerome Valero and Mingyao Liu and Megan Landes and Sharaniyaa Balachandran and Kimberley Hudson and Michelle Ngai and Marialessia Capuano and Maria Gelardi and Enrico Lupia and Daniel R Marinowic and Frederico O Friedrich and Carine RR Schmitz and Leticya SM Dos Santos and Florencia M Barbe-Tuana and Marcus H Jones and Kevin C Kain and Tony Mazzulli and Sam Sabbah and Shaf Keshavjee
2022
A graph neural network approach for molecule carcinogenicity prediction
Philip Fradkin and Adamo Young and Lazar Atanackovic and Brendan Frey and Leo J Lee and Bo Wang
2022
One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data
Chloe X Wang and Lin Zhang and Bo Wang
2022
Use of wearable technology and deep learning to improve the diagnosis of Brugada syndrome
Shun Liao and Mahmoud Bokhari and Praloy Chakraborty and Adrian Suszko and Gavin Jones and Danna Spears and Michael Gollob and Zhaolei Zhang and Bo Wang and Vijay S Chauhan
2022
Using Deep Convolutional Neural Networks to Automate Classification of Carotid Plaques from Ultrasound Imaging
Nitish Bhatt and Rashmi Nedadur and Blair Warren and Sebastian Mafeld and Sneha Raju and Jason E Fish and Bo Wang and Kathryn L Howe
2022
Machine learning as a new frontier in mitral valve surgical strategy
Rashmi Nedadur and Bo Wang and Wendy Tsang
2022
scFormer: A Universal Representation Learning Approach for Single-Cell Data Using Transformers
Haotian Cui and Chloe Wang and Hassaan Maan and Nan Duan and Bo Wang
2022
The differential impacts of dataset imbalance in single-cell data integration
Hassaan Maan and Lin Zhang and Chengxin Yu and Michael Geuenich and Kieran R Campbell and Bo Wang
2022
Standardized Radiographic Evaluation of Human Donor Lungs During Ex Vivo Lung Perfusion Predicts Lung Injury and Lung Transplant Outcomes
BT Chao and MC McInnis and AT Sage and J Yeung and M Cypel and M Liu and B Wang and S Keshavjee
2022
The Inclusion of Biomarker Scoring During Ex-Vivo Lung Perfusion Can Improve Organ Utilization and Patient Outcomes-A Retrospective, Single Center Study
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2022
InsighTx: A Machine-Learning Model That Accurately Predicts Transplant Outcomes During Ex Vivo Lung Perfusion
AT Sage and AA Shamandy and SH Mousavi and BT Chao and O Nitski and X Zhou and L Del Sorbo and JC Yeung and M Liu and M Cypel and B Wang and S Keshavjee
2022
Do Embedded Ethics Modules Have Impact Beyond the Classroom?
Horton, D.; Liu, D.; McIlraith, S. A.; Coyne, S.; and Wang, N.
2022
You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
Paster, K.; McIlraith, S. A.; and Ba, J. In Oh, A. H.; Agarwal, A.; Belgrave, D.; and Cho, K., editor(s),
2022
Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package
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2021
Machine-learned potentials for next-generation matter simulations
Pascal Friederich and Florian Häse and Jonny Proppe and Alán Aspuru-Guzik
2021
Machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery
Andrew S Rosen and Shaelyn M Iyer and Debmalya Ray and Zhenpeng Yao and Alan Aspuru-Guzik and Laura Gagliardi and Justin M Notestein and Randall Q Snurr
2021
Nanoparticle synthesis assisted by machine learning
Huachen Tao and Tianyi Wu and Matteo Aldeghi and Tony C Wu and Alán Aspuru-Guzik and Eugenia Kumacheva
2021
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge
Florian Häse and Matteo Aldeghi and Riley J Hickman and Loïc M Roch and Alán Aspuru-Guzik
2021
Data-science driven autonomous process optimization
Melodie Christensen and Lars PE Yunker and Folarin Adedeji and Florian Häse and Loïc M Roch and Tobias Gensch and Gabriel dos Passos Gomes and Tara Zepel and Matthew S Sigman and Alán Aspuru-Guzik and Jason E Hein
2021
Neural message passing on high order paths
Daniel Flam-Shepherd and Tony C Wu and Pascal Friederich and Alan Aspuru-Guzik
2021
Olympus: a benchmarking framework for noisy optimization and experiment planning
Florian Häse and Matteo Aldeghi and Riley J Hickman and Loïc M Roch and Melodie Christensen and Elena Liles and Jason E Hein and Alán Aspuru-Guzik
2021
Quantum computing at the frontiers of biological sciences
Prashant S Emani and Jonathan Warrell and Alan Anticevic and Stefan Bekiranov and Michael Gandal and Michael J McConnell and Guillermo Sapiro and Alán Aspuru-Guzik and Justin T Baker and Matteo Bastiani and John D Murray and Stamatios N Sotiropoulos and Jacob Taylor and Geetha Senthil and Thomas Lehner and Mark B Gerstein and Aram W Harrow
2021
Meta-variational quantum eigensolver: Learning energy profiles of parameterized hamiltonians for quantum simulation
Alba Cervera-Lierta and Jakob S Kottmann and Alán Aspuru-Guzik
2021
Organic molecules with inverted gaps between first excited singlet and triplet states and appreciable fluorescence rates
Robert Pollice and Pascal Friederich and Cyrille Lavigne and Gabriel dos Passos Gomes and Alán Aspuru-Guzik
2021
Assigning confidence to molecular property prediction
AkshatKumar Nigam and Robert Pollice and Matthew FD Hurley and Riley J Hickman and Matteo Aldeghi and Naruki Yoshikawa and Seyone Chithrananda and Vincent A Voelz and Alán Aspuru-Guzik
2021
Machine learning directed drug formulation development
Pauric Bannigan and Matteo Aldeghi and Zeqing Bao and Florian Häse and Alán Aspuru-Guzik and Christine Allen
2021
Conceptual understanding through efficient automated design of quantum optical experiments
Mario Krenn and Jakob S Kottmann and Nora Tischler and Alán Aspuru-Guzik
Zi-Jian Zhang and Thi Ha Kyaw and Jakob S Kottmann and Matthias Degroote and Alán Aspuru-Guzik
2021
Scientific intuition inspired by machine learning-generated hypotheses
Pascal Friederich and Mario Krenn and Isaac Tamblyn and Alan Aspuru-Guzik
2021
Deep Molecular Dreaming: Inverse machine learning for de-novo molecular design and interpretability with surjective representations
Cynthia Shen and Mario Krenn and Sagi Eppel and Alán Aspuru-Guzik
2021
Quantum computer-aided design: digital quantum simulation of quantum processors
Thi Ha Kyaw and Tim Menke and Sukin Sim and Abhinav Anand and Nicolas PD Sawaya and William D Oliver and Gian Giacomo Guerreschi and Alán Aspuru-Guzik
2021
Self‐Driving Platform for Metal Nanoparticle Synthesis: Combining Microfluidics and Machine Learning
Huachen Tao and Tianyi Wu and Sina Kheiri and Matteo Aldeghi and Alán Aspuru‐Guzik and Eugenia Kumacheva
2021
Quantum computer-aided design of quantum optics hardware
Jakob S Kottmann and Mario Krenn and Thi Ha Kyaw and Sumner Alperin-Lea and Alán Aspuru-Guzik
2021
Natural evolutionary strategies for variational quantum computation
Abhinav Anand and Matthias Degroote and Alán Aspuru-Guzik
2021
Frank-van der Merwe growth in bilayer graphene
Haozhe Wang and Zhenpeng Yao and Gang Seob Jung and Qichen Song and Marek Hempel and Tomas Palacios and Gang Chen and Markus J Buehler and Alán Aspuru-Guzik and Jing Kong
2021
An artificial spiking quantum neuron
Lasse Bjørn Kristensen and Matthias Degroote and Peter Wittek and Alán Aspuru-Guzik and Nikolaj T Zinner
2021
A molecular computing approach to solving optimization problems via programmable microdroplet arrays
Si Yue Guo and Pascal Friederich and Yudong Cao and Tony C Wu and Christopher J Forman and Douglas Mendoza and Matthias Degroote and Andrew Cavell and Veronica Krasecki and Riley J Hickman and Abhishek Sharma and Leroy Cronin and Nathan Gianneschi and Randall H Goldsmith and Alan Aspuru-Guzik
2021
MPGVAE: improved generation of small organic molecules using message passing neural nets
Daniel Flam-Shepherd and Tony C Wu and Alan Aspuru-Guzik
2021
Noise robustness and experimental demonstration of a quantum generative adversarial network for continuous distributions
Abhinav Anand and Jonathan Romero and Matthias Degroote and Alán Aspuru‐Guzik
2021
Analog quantum simulation of non-Condon effects in molecular spectroscopy
Hamza Jnane and Nicolas PD Sawaya and Borja Peropadre and Alan Aspuru-Guzik and Raul Garcia-Patron and Joonsuk Huh
2021
Machine Learning Predictions of Drug Release from Polymeric Long Acting Injectables
Pauric Bannigan and Florian Häse and Matteo Aldeghi and Zeqing Bao and Alán Aspuru-Guzik and Christine Allen
2021
Funsies: A minimalist, distributed and dynamic workflow engine
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2021
Fast Reverse Intersystem Crossing Over 107 s-1 in Organic Emitters with Inverted Singlet-Triplet Gap via Intramolecular Through Space Charge Transfer
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2021
Correction to “Extending the Lifetime of Organic Flow Batteries via Redox State Management”
Marc-Antoni Goulet and Liuchuan Tong and Daniel A Pollack and Daniel P Tabor and Susan A Odom and Alán Aspuru-Guzik and Eugene E Kwan and Roy G Gordon and Michael J Aziz
2021
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Yangjun Ruan and Karen Ullrich and Daniel S Severo and James Townsend and Ashish Khisti and Arnaud Doucet and Alireza Makhzani and Chris Maddison
2021
Variational Model Inversion Attacks
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2021
Few Shot Image Generation via Implicit Autoencoding of Support Sets
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2021
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
Rob Brekelmans and Sicong Huang and Marzyeh Ghassemi and Greg Ver Steeg and Roger Baker Grosse and Alireza Makhzani
2021
Your Dataset is a Multiset and You Should Compress it Like One
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2021
PID Accelerated Value Iteration Algorithm
Amir-Massoud Farahmand and Mohammad Ghavamzadeh
2021
Deep Reinforcement Learning for Online Control of Stochastic Partial Differential Equations
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2021
Lecture Notes on Reinforcement Learning
Amir-massoud Farahmand
2021
Conservative Safety Critics for Exploration
Homanga Bharadhwaj and Aviral Kumar and Nicholas Rhinehart and Sergey Levine and Florian Shkurti and Animesh Garg
2021
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
Valts Blukis and Chris Paxton and Dieter Fox and Animesh Garg and Yoav Artzi
2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics
Samarth Sinha and Ajay Mandlekar and Animesh Garg
2021
Dynamics Randomization Revisited: A Case Study for Quadrupedal Locomotion
Zhaoming Xie and Xingye Da and Michiel van de Panne and Buck Babich and Animesh Garg
2021
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting
Eric Heiden and Miles Macklin and Yashraj Narang and Dieter Fox and Animesh Garg and Fabio Ramos
2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
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2021
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Dylan P Losey and Hong Jun Jeon and Mengxi Li and Krishnan Srinivasan and Ajay Mandlekar and Animesh Garg and Jeannette Bohg and Dorsa Sadigh
2021
Robust Value Iteration for Continuous Control Tasks
Michael Lutter and Shie Mannor and Jan Peters and Dieter Fox and Animesh Garg
2021
Skill Transfer via Partially Amortized Hierarchical Planning
Kevin Xie and Homanga Bharadhwaj and Danijar Hafner and Animesh Garg and Florian Shkurti
2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction
Chenjia Bai and Lingxiao Wang and Lei Han and Jianye Hao and Animesh Garg and Peng Liu and Zhaoran Wang
2021
Value Iteration in Continuous Actions, States and Time
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2021
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning
Arthur Allshire and Roberto Martín-Martín and Charles Lin and Shawn Manuel and Silvio Savarese and Animesh Garg
2021
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
Nikita Dvornik and Isma Hadji and Konstantinos G Derpanis and Animesh Garg and Allan D Jepson
2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition
Bo Liu and Qiang Liu and Peter Stone and Animesh Garg and Yuke Zhu and Animashree Anandkumar
2021
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos
Haoyu Xiong and Quanzhou Li and Yun-Chun Chen and Homanga Bharadhwaj and Samarth Sinha and Animesh Garg
2021
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
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2021
GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels
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2021
LEAF: Latent Exploration Along the Frontier
Homanga Bharadhwaj and Animesh Garg and Florian Shkurti
2021
Dynamic Bottleneck for Robust Self-Supervised Exploration
Chenjia Bai and Lingxiao Wang and Lei Han and Animesh Garg and Jianye Hao and Peng Liu and Zhaoran Wang
2021
Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions
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Panteha Naderian and Gabriel Loaiza-Ganem and Harry J Braviner and Anthony L Caterini and Jesse C Cresswell and Tong Li and Animesh Garg
2021
Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects
Haoping Xu and Yi Ru Wang and Sagi Eppel and Alan Aspuru-Guzik and Florian Shkurti and Animesh Garg
2021
Generalizing Successor Features to continuous domains for Multi-task Learning
Melissa Mozifian and Dieter Fox and David Meger and Fabio Ramos and Animesh Garg
2021
Guided uncertainty-aware policy optimization: combining model-free and model-based strategies for sample-efficient learning
Jonathan Tremblay and Dieter Fox and Michelle Lee and Carlos Florensa and Nathan Donald Ratliff and Animesh Garg and Fabio Tozeto Ramos
2021
How interpretable and trustworthy are gams?
Chun-Hao Chang and Sarah Tan and Ben Lengerich and Anna Goldenberg and Rich Caruana
2021
A comprehensive EHR timeseries pre-training benchmark
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2021
An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study
Sarah M Goodday and Emma Karlin and Alexandria Alfarano and Alexa Brooks and Carol Chapman and Rachelle Desille and Daniel R Karlin and Hoora Emami and Nancy Fugate Woods and Adrien Boch and Luca Foschini and Mackenzie Wildman and Francesca Cormack and Nick Taptiklis and Abhishek Pratap and Marzyeh Ghassemi and Anna Goldenberg and Sujay Nagaraj and Elaine Walsh and Stephen Friend
2021
Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision Support
Lebohang Radebe and Daniëlle CM van der Kaay and Jonathan D Wasserman and Anna Goldenberg
2021
Finding associations in a heterogeneous setting: statistical test for aberration enrichment
Aziz M Mezlini and Sudeshna Das and Anna Goldenberg
2021
Assessing therapy response in patient-derived xenografts
Janosch Ortmann and Ladislav Rampášek and Elijah Tai and Arvind Singh Mer and Ruoshi Shi and Erin L Stewart and Celine Mascaux and Aline Fares and Nhu-An Pham and Gangesh Beri and Christopher Eeles and Denis Tkachuk and Chantal Ho and Shingo Sakashita and Jessica Weiss and Xiaoqian Jiang and Geoffrey Liu and David W Cescon and Catherine A O’Brien and Sheng Guo and Ming-Sound Tsao and Benjamin Haibe-Kains and Anna Goldenberg
2021
MP44-18 accurate estimate of split differential renal function using ultrasound alone for infants with hydronephrosis
Marta Skreta and Lauren Erdman and Mandy Rickard and Daniel T Keefe and Michael Chua and Joana Dos Santos and Anna Goldenberg and Armando J Lorenzo
2021
Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework
Jethro CC Kwong and Louise C McLoughlin and Masoom Haider and Mitchell G Goldenberg and Lauren Erdman and Mandy Rickard and Armando J Lorenzo and Andrew J Hung and Monica Farcas and Larry Goldenberg and Chris Nguan and Luis H Braga and Muhammad Mamdani and Anna Goldenberg and Girish S Kulkarni
2021
Dear watch, should I get a COVID test? designing deployable machine learning for wearables
Anna Goldenberg and Bret Nestor and Jaryd Hunter and Raghu Kainkaryam and Erik Drysdale and Jeffrey Inglis and Allison Shapiro and Sujay Nagaraj and Marzyeh Ghassemi and Luca Foschini
2021
Identification of Optical Coherence Tomography Phenotypes and Their Relationship with Patient Outcomes in Youth With Demyelinating Syndromes: Preliminary Results of an Unsupervised Machine Learning Analysis
B Ciftci-Kavaklioglu and C Kavaklioglu and L Erdman and A Goldenberg and T Berenbaum and F Costello and J Mah and A Reginald and B Banwell and G Longoni and A Yeh
2021
On extended admissible procedures and their nonstandard Bayes risk
Haosui Duanmu and Daniel M Roy
2021
Towards a Unified Information-Theoretic Framework for Generalization
Mahdi Haghifam and Gintare Karolina Dziugaite and Shay Moran and Dan Roy
2021
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization
Mufan Li and Mihai Nica and Dan Roy
2021
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
Jeffrey Negrea and Blair Bilodeau and Nicolò Campolongo and Francesco Orabona and Dan Roy
2021
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning
Yiding Jiang and Parth Natekar and Manik Sharma and Sumukh K Aithal and Dhruva Kashyap and Natarajan Subramanyam and Carlos Lassance and Daniel M Roy and Gintare Karolina Dziugaite and Suriya Gunasekar and Isabelle Guyon and Pierre Foret and Scott Yak and Hossein Mobahi and Behnam Neyshabur and Samy Bengio
2021
Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming
Adam Paszke and Daniel Johnson and David Duvenaud and Dimitrios Vytiniotis and Alexey Radul and Matthew Johnson and Jonathan Ragan-Kelley and Dougal Maclaurin
2021
Meta-learning to Improve Pre-training
Aniruddh Raghu and Jonathan Lorraine and Simon Kornblith and Matthew McDermott and David K Duvenaud
2021
Image super-resolution via iterative refinement
Chitwan Saharia and Jonathan Ho and William Chan and Tim Salimans and David J Fleet and Mohammad Norouzi
2021
Unsupervised part representation by Flow Capsules
Sara Sabour and Andrea Tagliasacchi and Soroosh Yazdani and Geoffrey E Hinton and David J Fleet
2021
3D Flexible Refinement: Structure and motion of flexible proteins from cryo-EM
Ali Punjani and David J Fleet
2021
Palette: Image-to-image diffusion models
Chitwan Saharia and William Chan and Huiwen Chang and Chris A Lee and Jonathan Ho and Tim Salimans and David J Fleet and Mohammad Norouzi
2021
Advances in modelling continuous heterogeneity from single particle cryo-EM data
Ali Punjani and David J Fleet
2021
Comparing pre-trained and feature-based models for prediction of Alzheimer’s disease based on speech
Aparna Balagopalan and Benjamin Eyre and Jessica Robin and Frank Rudzicz and Jekaterina Novikova
2021
Coughwatch: Real-world cough detection using smartwatches
Daniyal Liaqat and Salaar Liaqat and Jun Lin Chen and Tina Sedaghat and Moshe Gabel and Frank Rudzicz and Eyal de Lara
2021
Machine Learning–Based Prediction of Growth in Confirmed COVID-19 Infection Cases in 114 Countries Using Metrics of Nonpharmaceutical Interventions and Cultural Dimensions: Model Development and Validation
Arnold YS Yeung and Francois Roewer-Despres and Laura Rosella and Frank Rudzicz
2021
Using machine learning to predict children’s reading comprehension from linguistic features extracted from speech and writing.
Jeanne Sinclair and Eunice Eunhee Jang and Frank Rudzicz
2021
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Jixuan Wang and Kuan-Chieh Wang and Frank Rudzicz and Michael Brudno
2021
Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss
Haiqi Wei and Frank Rudzicz and David Fleet and Teodor Grantcharov and Babak Taati
2021
Deep Learning for Voice Gender Identification: Proof‐of‐concept for Gender‐Affirming Voice Care
Yael Bensoussan and Jeremy Pinto and Matthew Crowson and Patrick R Walden and Frank Rudzicz and Michael Johns III
2021
Population-based incidence of invasive pneumococcal disease in children and adults in Ontario and British Columbia, 2002–2018: A Canadian Immunization Research Network (CIRN) study
Sharifa Nasreen and Jun Wang and Jeffrey C Kwong and Natasha S Crowcroft and Manish Sadarangani and Sarah E Wilson and Allison McGeer and James D Kellner and Caroline Quach and Shaun K Morris and Beate Sander and Julianne V Kus and Monika Naus and Linda Hoang and Frank Rudzicz and Shaza Fadel and Fawziah Marra
2021
1211. Incidence of All-Cause Community-Acquired Pneumonia in Ontario and British Columbia, Canada, 2002-2018; a Canadian Immunization Research Network (CIRN) study
Sharifa Nasreen and John Wang and Jeffrey Kwong and Natasha S Crowcroft and Manish Sadarangani and Sarah Wilson and Allison McGeer and James D Kellner and Caroline Quach and Shaun Morris and Shelly Bolotin and Beate Sander and Monika C Naus and Linda Hoang and Frank Rudzicz and Shaza A Fadel and Fawziah Marra
2021
System, method, and computer program for cognitive training
Frank Rudzicz and Kathleen Fraser and Liam Kaufman and Maria Yancheva
2021
An Evaluation of Disentangled Representation Learning for Texts
Krishnapriya Vishnubhotla and Graeme Hirst and Frank Rudzicz
2021
A machine learning approach to chronic obstructive pulmonary disease exacerbation identification and readmission risk quantification
Reza Fakhraei and Lanujan Kaneswaran and Frank Rudzicz and Andrea Gershon and Robert Wu
2021
Hierarchical cnn-transformer based machine learning
Chantal Shaib and FENG Jinyue and Frank Rudzicz
2021
Distributed deep learning in open collaborations
Michael Diskin and Alexey Bukhtiyarov and Max Ryabinin and Lucile Saulnier and Anton Sinitsin and Dmitry Popov and Dmitry V Pyrkin and Maxim Kashirin and Alexander Borzunov and Albert Villanova del Moral and Denis Mazur and Ilia Kobelev and Yacine Jernite and Thomas Wolf and Gennady Pekhimenko
2021
Moshpit SGD: Communication-efficient decentralized training on heterogeneous unreliable devices
Max Ryabinin and Eduard Gorbunov and Vsevolod Plokhotnyuk and Gennady Pekhimenko
2021
FPRaker: A Processing Element For Accelerating Neural Network Training
Omar Mohamed Awad and Mostafa Mahmoud and Isak Edo and Ali Hadi Zadeh and Ciaran Bannon and Anand Jayarajan and Gennady Pekhimenko and Andreas Moshovos
2021
LifeStream: a high-performance stream processing engine for periodic streams
Anand Jayarajan and Kimberly Hau and Andrew Goodwin and Gennady Pekhimenko
2021
NVOverlay: enabling efficient and scalable high-frequency snapshotting to NVM
Ziqi Wang and Chul-Hwan Choo and Michael A Kozuch and Todd C Mowry and Gennady Pekhimenko and Vivek Seshadri and Dimitrios Skarlatos
2021
Clockwork variational autoencoders
Vaibhav Saxena and Jimmy Ba and Danijar Hafner
2021
Lime: Learning inductive bias for primitives of mathematical reasoning
Yuhuai Wu and Markus N Rabe and Wenda Li and Jimmy Ba and Roger B Grosse and Christian Szegedy
2021
Efficient statistical tests: A neural tangent kernel approach
Sheng Jia and Ehsan Nezhadarya and Yuhuai Wu and Jimmy Ba
2021
On Monotonic Linear Interpolation of Neural Network Parameters
James R Lucas and Juhan Bae and Michael R Zhang and Stanislav Fort and Richard Zemel and Roger B Grosse
2021
Training neural networks using evolution based strategies and novelty search
Edoardo Conti and Vashisht Madhavan and Jeffrey Michael Clune and Felipe Petroski Such and Joel Anthony Lehman and Kenneth Owen Stanley
2021
Deep learning for AI
Yoshua Bengio and Yann Lecun and Geoffrey Hinton
2021
Neural additive models: Interpretable machine learning with neural nets
Rishabh Agarwal and Levi Melnick and Nicholas Frosst and Xuezhou Zhang and Ben Lengerich and Rich Caruana and Geoffrey E Hinton
2021
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing
Ji Xin and Raphael Tang and Yaoliang Yu and Jimmy Lin
2021
An assessment of the structural resolution of various fingerprints commonly used in machine learning
Behnam Parsaeifard and Deb Sankar De and Anders S Christensen and Felix A Faber and Emir Kocer and Sandip De and Jörg Behler and O Anatole von Lilienfeld and Stefan Goedecker
2021
Ab initio machine learning in chemical compound space
Bing Huang and O Anatole von Lilienfeld
2021
How does a Neural Network’s Architecture Impact its Robustness to Noisy Labels?
Jingling Li and Mozhi Zhang and Keyulu Xu and John Dickerson and Jimmy Ba
2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Beining Han and Chongyi Zheng and Harris Chan and Keiran Paster and Michael Zhang and Jimmy Ba
2021
BLAST: Latent Dynamics Models from Bootstrapping
Keiran Paster and Lev E McKinney and Sheila A McIlraith and Jimmy Ba
2021
Understanding the Variance Collapse of SVGD in High Dimensions
Jimmy Ba and Murat A Erdogdu and Marzyeh Ghassemi and Shengyang Sun and Taiji Suzuki and Denny Wu and Tianzong Zhang
2021
Probabilistic simulation of quantum circuits using a deep-learning architecture
Juan Carrasquilla and Di Luo and Felipe Pérez and Ashley Milsted and Bryan K Clark and Maksims Volkovs and Leandro Aolita
2021
Protocol discovery for the quantum control of majoranas by differentiable programming and natural evolution strategies
Luuk Coopmans and Di Luo and Graham Kells and Bryan K Clark and Juan Carrasquilla
2021
Attention-based quantum tomography
Peter Cha and Paul Ginsparg and Felix Wu and Juan Carrasquilla and Peter L McMahon and Eun-Ah Kim
2021
Variational neural annealing
Mohamed Hibat-Allah and Estelle M Inack and Roeland Wiersema and Roger G Melko and Juan Carrasquilla
2021
How To Use Neural Networks To Investigate Quantum Many-Body Physics
Juan Carrasquilla and Giacomo Torlai
2021
U (1)-symmetric recurrent neural networks for quantum state reconstruction
Stewart Morawetz and Isaac JS De Vlugt and Juan Carrasquilla and Roger G Melko
2021
Human pose estimation
Leonid Sigal
2021
Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment
Jing Wang and Jiahong Chen and Jianzhe Lin and Leonid Sigal and Clarence W de Silva
2021
Referring transformer: A one-step approach to multi-task visual grounding
Muchen Li and Leonid Sigal
2021
Weakly-supervised audio-visual sound source detection and separation
Tanzila Rahman and Leonid Sigal
2021
PROVIDE: a probabilistic framework for unsupervised video decomposition
Polina Zablotskaia and Edoardo A Dominici and Leonid Sigal and Andreas M Lehrmann
2021
Guest editorial introduction to the special issue on large-scale visual sensor networks: architectures and applications
Paolo Spagnolo and Hamid Aghajan and George Bebis and Shaogang Gong and Amy Loutfi and Leonid Sigal and Wei-Shi Zheng
Probabilistic Label-Efficient Deep Generative Structures (PLEDGES)
Avi Pfeffer and Catherine Call and Frank Wood and Brad Rosenberg and Kirstin Bibbiani and Leonid Sigal and Ishaan Shah and Deniz Erdogmus and Sameer Singh and Jan W van de Meent
2021
Ethical machine learning in healthcare
Irene Y Chen and Emma Pierson and Sherri Rose and Shalmali Joshi and Kadija Ferryman and Marzyeh Ghassemi
2021
The false hope of current approaches to explainable artificial intelligence in health care
Marzyeh Ghassemi and Luke Oakden-Rayner and Andrew L Beam
2021
An empirical framework for domain generalization in clinical settings
Haoran Zhang and Natalie Dullerud and Laleh Seyyed-Kalantari and Quaid Morris and Shalmali Joshi and Marzyeh Ghassemi
2021
Implementing machine learning in medicine
Amol A Verma and Joshua Murray and Russell Greiner and Joseph Paul Cohen and Kaveh G Shojania and Marzyeh Ghassemi and Sharon E Straus and Chloe Pou-Prom and Muhammad Mamdani
2021
The role of machine learning in clinical research: transforming the future of evidence generation
E Hope Weissler and Tristan Naumann and Tomas Andersson and Rajesh Ranganath and Olivier Elemento and Yuan Luo and Daniel F Freitag and James Benoit and Michael C Hughes and Faisal Khan and Paul Slater and Khader Shameer and Matthew Roe and Emmette Hutchison and Scott H Kollins and Uli Broedl and Zhaoling Meng and Jennifer L Wong and Lesley Curtis and Erich Huang and Marzyeh Ghassemi
2021
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
Laleh Seyyed-Kalantari and Haoran Zhang and Matthew McDermott and Irene Y Chen and Marzyeh Ghassemi
2021
Probabilistic machine learning for healthcare
Irene Y Chen and Shalmali Joshi and Marzyeh Ghassemi and Rajesh Ranganath
2021
A comprehensive EHR timeseries pre-training benchmark
Matthew McDermott and Bret Nestor and Evan Kim and Wancong Zhang and Anna Goldenberg and Peter Szolovits and Marzyeh Ghassemi
2021
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Karsten Roth and Timo Milbich and Bjorn Ommer and Joseph Paul Cohen and Marzyeh Ghassemi
2021
Characterizing generalization under out-of-distribution shifts in deep metric learning
Timo Milbich and Karsten Roth and Samarth Sinha and Ludwig Schmidt and Marzyeh Ghassemi and Bjorn Ommer
2021
Learning Optimal Predictive Checklists
Haoran Zhang and Quaid Morris and Berk Ustun and Marzyeh Ghassemi
2021
An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study
Sarah M Goodday and Emma Karlin and Alexandria Alfarano and Alexa Brooks and Carol Chapman and Rachelle Desille and Daniel R Karlin and Hoora Emami and Nancy Fugate Woods and Adrien Boch and Luca Foschini and Mackenzie Wildman and Francesca Cormack and Nick Taptiklis and Abhishek Pratap and Marzyeh Ghassemi and Anna Goldenberg and Sujay Nagaraj and Elaine Walsh and Stephen Friend
2021
Medical Dead-ends and Learning to Identify High-risk States and Treatments
Mehdi Fatemi and Taylor W Killian and Jayakumar Subramanian and Marzyeh Ghassemi
2021
Understanding the Variance Collapse of SVGD in High Dimensions
Jimmy Ba and Murat A Erdogdu and Marzyeh Ghassemi and Shengyang Sun and Taiji Suzuki and Denny Wu and Tianzong Zhang
2021
Problems associated with the deployment of machine learning-based models in health
Joseph Paul Cohen and Tianshi Cao and Joseph D Viviano and Chin-Wei Huang and Michael Fralick and Marzyeh Ghassemi and Muhammad Mamdani and Russell Greiner and Yoshua Bengio
2021
Implementing machine learning in healthcare
Amol A Verma and Joshua Murray and Russell Greiner and Joseph Paul Cohen and Kaveh G Shojania and Marzyeh Ghassemi and Sharon E Straus and Chloe Pou-Prom and Muhammad Mamdani
2021
Problèmes associés au déploiement des modèles fondés sur l’apprentissage machine en santé
Joseph Paul Cohen and Tianshi Cao and Joseph D Viviano and Chin-Wei Huang and Michael Fralick and Marzyeh Ghassemi and Muhammad Mamdani and Russell Greiner and Yoshua Bengio
2021
Mise en œuvre de l’apprentissage machine en santé
Amol A Verma and Joshua Murray and Russell Greiner and Joseph Paul Cohen and Kaveh G Shojania and Marzyeh Ghassemi and Sharon E Straus and Chloé Pou-Prom and Muhammad Mamdani
2021
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
Rob Brekelmans and Sicong Huang and Marzyeh Ghassemi and Greg Ver Steeg and Roger Baker Grosse and Alireza Makhzani
2021
Caractéristiques et issues des hospitalisations pour les cas de COVID-19 et d’influenza dans la région de Toronto
Amol A Verma and Tejasvi Hora and Hae Young Jung and Michael Fralick and Sarah L Malecki and Lauren Lapointe-Shaw and Adina Weinerman and Terence Tang and Janice L Kwan and Jessica J Liu and Shail Rawal and Timothy CY Chan and Angela M Cheung and Laura C Rosella and Marzyeh Ghassemi and Margaret Herridge and Muhammad Mamdani and Fahad Razak
2021
GA4GH: International policies and standards for data sharing across genomic research and healthcare
Heidi L Rehm and Angela JH Page and Lindsay Smith and Jeremy B Adams and Gil Alterovitz and Lawrence J Babb and Maxmillian P Barkley and Michael Baudis and Michael JS Beauvais and Tim Beck and Jacques S Beckmann and Sergi Beltran and David Bernick and Alexander Bernier and James K Bonfield and Tiffany F Boughtwood and Guillaume Bourque and Sarion R Bowers and Anthony J Brookes and Michael Brudno and Matthew H Brush and David Bujold and Tony Burdett and Orion J Buske and Moran N Cabili and Daniel L Cameron and Robert J Carroll and Esmeralda Casas-Silva and Debyani Chakravarty and Bimal P Chaudhari and Shu Hui Chen and J Michael Cherry and Justina Chung and Melissa Cline and Hayley L Clissold and Robert M Cook-Deegan and Mélanie Courtot and Fiona Cunningham and Miro Cupak and Robert M Davies and Danielle Denisko and Megan J Doerr and Lena I Dolman and Edward S Dove and L Jonathan Dursi and Stephanie OM Dyke and James A Eddy and Karen Eilbeck and Kyle P Ellrott and Susan Fairley and Khalid A Fakhro and Helen V Firth and Michael S Fitzsimons and Marc Fiume and Paul Flicek and Ian M Fore and Mallory A Freeberg and Robert R Freimuth and Lauren A Fromont and Jonathan Fuerth and Clara L Gaff and Weiniu Gan and Elena M Ghanaim and David Glazer and Robert C Green and Malachi Griffith and Obi L Griffith and Robert L Grossman and Tudor Groza and Jaime M Guidry Auvil and Roderic Guigó and Dipayan Gupta and Melissa A Haendel and Ada Hamosh and David P Hansen and Reece K Hart and Dean Mitchell Hartley and David Haussler and Rachele M Hendricks-Sturrup and Calvin WL Ho and Ashley E Hobb and Michael M Hoffman and Oliver M Hofmann and Petr Holub and Jacob Shujui Hsu and Jean-Pierre Hubaux and Sarah E Hunt and Ammar Husami and Julius O Jacobsen and Saumya S Jamuar and Elizabeth L Janes and Francis Jeanson and Aina Jené and Amber L Johns and Yann Joly and Steven JM Jones and Alexander Kanitz and Kazuto Kato and Thomas M Keane and Kristina Kekesi-Lafrance and Jerome Kelleher and Giselle Kerry and Seik-Soon Khor and Bartha M Knoppers and Melissa A Konopko and Kenjiro Kosaki and Martin Kuba and Jonathan Lawson and Rasko Leinonen and Stephanie Li and Michael F Lin and Mikael Linden and Xianglin Liu and Isuru Udara Liyanage and Javier Lopez and Anneke M Lucassen and Michael Lukowski and Alice L Mann and John Marshall and Michele Mattioni and Alejandro Metke-Jimenez and Anna Middleton and Richard J Milne and Fruzsina Molnár-Gábor and Nicola Mulder and Monica C Munoz-Torres and Rishi Nag and Hidewaki Nakagawa and Jamal Nasir and Arcadi Navarro and Tristan H Nelson and Ania Niewielska and Amy Nisselle and Jeffrey Niu and Tommi H Nyrönen and Brian D O’Connor and Sabine Oesterle and Soichi Ogishima and Vivian Ota Wang and Laura AD Paglione and Emilio Palumbo and Helen E Parkinson and Anthony A Philippakis and Angel D Pizarro and Andreas Prlic and Jordi Rambla and Augusto Rendon and Renee A Rider and Peter N Robinson and Kurt W Rodarmer
2021
International federation of genomic medicine databases using GA4GH standards
Adrian Thorogood and Heidi L Rehm and Peter Goodhand and Angela JH Page and Yann Joly and Michael Baudis and Jordi Rambla and Arcadi Navarro and Tommi H Nyronen and Mikael Linden and Edward S Dove and Marc Fiume and Michael Brudno and Melissa S Cline and Ewan Birney
2021
Automatically disambiguating medical acronyms with ontology-aware deep learning
Marta Skreta and Aryan Arbabi and Jixuan Wang and Erik Drysdale and Jacob Kelly and Devin Singh and Michael Brudno
2021
MetaFusion: a high-confidence metacaller for filtering and prioritizing RNA-seq gene fusion candidates
Michael Apostolides and Yue Jiang and Mia Husić and Robert Siddaway and Cynthia Hawkins and Andrei L Turinsky and Michael Brudno and Arun K Ramani
2021
Child Neurology: RNA Sequencing for the Diagnosis of Lissencephaly
Hebah Qashqari and Arun Ramani and Hernan Gonorazky and Kimberly Amburgey and Mohammad M Ghahramani Seno and Michael Brudno and Sergey Naumenko and Soma Das and James J Dowling
2021
A Canadian Study of Cisplatin Metabolomics and Nephrotoxicity (ACCENT): A Clinical Research Protocol
Anshika Jain and Ryan Huang and Jasmine Lee and Natasha Jawa and Yong Jin Lim and Mike Guron and Sharon Abish and Paul C Boutros and Michael Brudno and Bruce Carleton and Geoffrey DE Cuvelier and Lakshman Gunaratnam and Cheryl Ho and Khosrow Adeli and Sara Kuruvilla and Giles Lajoie and Geoffrey Liu and Paul C Nathan and Shahrad Rod Rassekh and Michael Rieder and Sushrut S Waikar and Stephen A Welch and Matthew A Weir and Eric Winquist and David S Wishart and Alexandra P Zorzi and Tom Blydt-Hansen and Michael Zappitelli and Bradley Urquhart
2021
Creation of an electronic patient-reported outcome measure platform Voxe: a mixed methods study protocol in paediatric solid organ transplantation
Samantha J Anthony and Sarah J Pol and Jia Lin and Melanie Barwick and Michael Brudno and Dorin Manase and Rulan Savita Parekh and Amanda Silva and Jennifer Stinson
2021
Convergence rate of block-coordinate maximization Burer–Monteiro method for solving large SDPs
Murat A Erdogdu and Asuman Ozdaglar and Pablo A Parrilo and Nuri Denizcan Vanli
2021
An analysis of constant step size sgd in the non-convex regime: Asymptotic normality and bias
Lu Yu and Krishnakumar Balasubramanian and Stanislav Volgushev and Murat A Erdogdu
2021
Convergence rates of stochastic gradient descent under infinite noise variance
Hongjian Wang and Mert Gurbuzbalaban and Lingjiong Zhu and Umut Simsekli and Murat A Erdogdu
2021
Manipulating sgd with data ordering attacks
Ilia Shumailov and Zakhar Shumaylov and Dmitry Kazhdan and Yiren Zhao and Nicolas Papernot and Murat A Erdogdu and Ross J Anderson
2021
Heavy tails in sgd and compressibility of overparametrized neural networks
Melih Barsbey and Milad Sefidgaran and Murat A Erdogdu and Gael Richard and Umut Simsekli
2021
Fractal structure and generalization properties of stochastic optimization algorithms
Alexander Camuto and George Deligiannidis and Murat A Erdogdu and Mert Gurbuzbalaban and Umut Simsekli and Lingjiong Zhu
2021
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
Abhishek Roy and Krishnakumar Balasubramanian and Murat A Erdogdu
2021
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings
Matthew Shunshi Zhang and Murat Erdogdu and Animesh Garg
2021
Dataset Inference: Ownership Resolution in Machine Learning
Pratyush Maini and Mohammad Yaghini and Nicolas Papernot
2021
Bad characters: Imperceptible nlp attacks
Nicholas Boucher and Ilia Shumailov and Ross Anderson and Nicolas Papernot
2021
Manipulating SGD with data ordering attacks
Ilia Shumailov and Zakhar Shumaylov and Dmitry Kazhdan and Yiren Zhao and Nicolas Papernot and Murat A Erdogdu and Ross Anderson
2021
Hyperparameter Tuning with Renyi Differential Privacy
Nicolas Papernot and Thomas Steinke
2021
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning
Anvith Thudi and Hengrui Jia and Ilia Shumailov and Nicolas Papernot
Anvith Thudi and Gabriel Deza and Varun Chandrasekaran and Nicolas Papernot
2021
Accelerating Symbolic Analysis for Android Apps
Mingyue Yang and David Lie and Nicolas Papernot
2021
Losing Less: A Loss for Differentially Private Deep Learning
Ali Shahin Shamsabadi and Nicolas Papernot
2021
A Zest of LIME: Towards Architecture-Independent Model Distances
Hengrui Jia and Hongyu Chen and Jonas Guan and Ali Shahin Shamsabadi and Nicolas Papernot
2021
Private Multi-Winner Voting For Machine Learning
Adam Dziedzic and Christopher A Choquette-Choo and Natalie Dullerud and Vinith Menon Suriyakumar and Ali Shahin Shamsabadi and Muhammad Ahmad Kaleem and Somesh Jha and Nicolas Papernot and Xiao Wang
2021
Context-invariant, multi-variate time series representations
Stephan Rabanser and Tim Januschowski and Kashif Rasul and Oliver Borchert and Richard Kurle and Jan Gasthaus and Michael Bohlke-Schneider and Nicolas Papernot and Valentin Flunkert
2021
Fourth International Workshop on Dependable and Secure Machine Learning–DSML 2021
Hui Xu and Guanpeng Li and Homa Alemzadeh and Rakesh Bobba and Varun Chandrasekaran and David E Evans and Nicolas Papernot and Karthik Pattabiraman and Florian Tramer
2021
Quantifying and Improving Transferability in Domain Generalization
Guojun Zhang and Han Zhao and Yaoliang Yu and Pascal Poupart
2021
System and method for bi-directional translation using sum-product networks
Mehdi Rezagholizadeh and Vahid PARTOVI NIA and Md Akmal Haidar and Pascal Poupart
2021
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
Guiliang Liu and Xiangyu Sun and Oliver Schulte and Pascal Poupart
2021
Decentralized Mean Field Games
Sriram Ganapathi Subramanian and Matthew E Taylor and Mark Crowley and Pascal Poupart
2021
Learning Object-Oriented Dynamics for Planning from Text
Guiliang Liu and Ashutosh Adhikari and Amir-massoud Farahmand and Pascal Poupart
2021
Distributional Reinforcement Learning with Monotonic Splines
Yudong Luo and Guiliang Liu and Haonan Duan and Oliver Schulte and Pascal Poupart
2021
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
Md Akmal Haidar and Nithin Anchuri and Mehdi Rezagholizadeh and Abbas Ghaddar and Philippe Langlais and Pascal Poupart
2021
Partially Observable Mean Field Reinforcement Learning
Sriram Ganapathi Subramanian and Matthew E Taylor and Mark Crowley and Pascal Poupart
2021
Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes
Stefan C Dentro and Ignaty Leshchiner and Kerstin Haase and Maxime Tarabichi and Jeff Wintersinger and Amit G Deshwar and Kaixian Yu and Yulia Rubanova and Geoff Macintyre and Jonas Demeulemeester and Ignacio Vázquez-García and Kortine Kleinheinz and Dimitri G Livitz and Salem Malikic and Nilgun Donmez and Subhajit Sengupta and Pavana Anur and Clemency Jolly and Marek Cmero and Daniel Rosebrock and Steven E Schumacher and Yu Fan and Matthew Fittall and Ruben M Drews and Xiaotong Yao and Thomas BK Watkins and Juhee Lee and Matthias Schlesner and Hongtu Zhu and David J Adams and Nicholas McGranahan and Charles Swanton and Gad Getz and Paul C Boutros and Marcin Imielinski and Rameen Beroukhim and S Cenk Sahinalp and Yuan Ji and Martin Peifer and Inigo Martincorena and Florian Markowetz and Ville Mustonen and Ke Yuan and Moritz Gerstung and Paul T Spellman and Wenyi Wang and Quaid D Morris and David C Wedge and Peter Van Loo and Santiago Gonzalez and David D Bowtell and Peter J Campbell and Shaolong Cao and Elizabeth L Christie and Yupeng Cun and Kevin J Dawson and Roland Eils and Dale W Garsed and Gavin Ha and Lara Jerman and Henry Lee-Six and Thomas J Mitchell and Layla Oesper and Myron Peto and Benjamin J Raphael and Adriana Salcedo and Ruian Shi and Seung Jun Shin and Lincoln D Stein and Oliver Spiro and Shankar Vembu and David A Wheeler and Tsun-Po Yang
2021
An empirical framework for domain generalization in clinical settings
Haoran Zhang and Natalie Dullerud and Laleh Seyyed-Kalantari and Quaid Morris and Shalmali Joshi and Marzyeh Ghassemi
2021
Learning Optimal Predictive Checklists
Haoran Zhang and Quaid Morris and Berk Ustun and Marzyeh Ghassemi
2021
Interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood
Kimberly Skead and Armande Ang Houle and Sagi Abelson and Mawusse Agbessi and Vanessa Bruat and Boxi Lin and David Soave and Liran Shlush and Stephen Wright and John Dick and Quaid Morris and Philip Awadalla
2021
Segmenting Hybrid Trajectories using Latent ODEs
Ruian Shi and Quaid Morris
2021
Peripheral blood values as predictors of autoimmune status in oral cavity squamous cell carcinoma
Anjali Pillai and Cristina Valero and Kathleen Navas and Quaid Morris and Snehal G Patel
2021
Tumour spatial heterogeneity in breast cancer and the impact on clinical management
Jane Bayani and Quang M Trinh and Mary Anne Quintayo and Cheryl Crozier and Megan Hopkins and Jingping Qiao and Alison Cheung and James Mainprize and Quaid Morris and Melanie Spears and Martin Yaffe and Lincoln Stein and John M Bartlett
2021
Deep structured reactive planning
Jerry Liu and Wenyuan Zeng and Raquel Urtasun and Ersin Yumer
2021
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving
Bob Wei and Mengye Ren and Wenyuan Zeng and Ming Liang and Bin Yang and Raquel Urtasun
2021
Asynchronous multi-view slam
Anqi Joyce Yang and Can Cui and Ioan Andrei Bârsan and Raquel Urtasun and Shenlong Wang
2021
Photorealistic Image Simulation with Geometry-Aware Composition
Frieda Rong and Yun Chen and Shivam Duggal and Shenlong Wang and Xinchen Yan and Sivabalan Manivasagam and Ersin Yumer and Raquel Urtasun
2021
Systems and Methods for Using Attention Masks to Improve Motion Planning
Raquel Urtasun and Bob Qingyuan Wei and Mengye Ren and Wenyuan Zeng and Ming Liang and Bin Yang
2021
Systems and Methods for Latent Distribution Modeling for Scene-Consistent Motion Forecasting
Sergio Casas and Cole Chistian Gulino and Shun Da Suo and Katie Z Luo and Renjie Liao and Raquel Urtasun
2021
Systems and Methods for Integrating Radar Data for Improved Object Detection in Autonomous Vehicles
Raquel Urtasun and Bin Yang and Ming Liang and Sergio Casas and Runsheng Benson Guo
2021
Systems and Methods for Vehicle-to-Vehicle Communications for Improved Autonomous Vehicle Operations
Sivabalan Manivasagam and Ming Liang and Bin Yang and Wenyuan Zeng and Raquel Urtasun and Tsu-shuan Wang
2021
Systems and Methods for Jointly Performing Perception, Perception, and Motion Planning for an Autonomous System
Wenyuan Zeng and Shenlong Wang and Renjie Liao and Yun Chen and Bin Yang and Raquel Urtasun
2021
High Quality Instance Segmentation
Namdar Homayounfar and Yuwen Xiong and Justin Liang and Wei-Chiu Ma and Raquel Urtasun
2021
System and Methods for Encoding Octree Structured Point Cloud Data Using an Entropy Model
Lila Huang and Jerry Junkai Liu and Kelvin Ka Wing Wong and Shenglong Wang and Raquel Urtasun and Souray Biswas
2021
End-To-End Tracking of Objects
Davi Eugenio Nascimento Frossard and Raquel Urtasun
2021
Autonomous Vehicle Lane Boundary Detection Systems and Methods
Min Bai and Gellert Sandor Mattyus and Namdar Homayounfar and Shenlong Wang and Shrindihi Kowshika Lakshmikanth and Raquel Urtasun
2021
Sparse Convolutional Neural Networks
Raquel Urtasun and Mengye Ren and Andrei Pokrovsky and Bin Yang
2021
Systems and Methods for Training Object Detection Models Using Adversarial Examples
James Tu and Sivabalan Manivasagam and Mengye Ren and Ming Liang and Bin Yang and Raquel Urtasun
2021
Systems and Methods for Autonomous Vehicle Systems Simulation
Raquel Urtasun and Kelvin Ka Wing Wong and Qiang Zhang and Bin Yang and Ming Liang and Renjie Liao
2021
Systems and Methods for Training Machine-Learned Models with Deviating Intermediate Representations
Xuanyuan Tu and Raquel Urtasun and Tsu-shuan Wang and Sivabalan Manivasagam and Jingkang Wang and Mengye Ren
2021
Systems and Methods for Selecting Trajectories Based on Interpretable Semantic Representations
Raquel Urtasun and Abbas Sadat and Sergio Casas and Mengye Ren
2021
Systems and Methods for Training Probabilistic Object Motion Prediction Models Using Non-Differentiable Prior Knowledge
Sergio Casas and Cole Christian Gulino and Shun Da Suo and Raquel Urtasun
2021
Systems and Methods for Optimized Multi-Agent Routing Between Nodes
Quinlan Sykora and Mengye Ren and Raquel Urtasun
2021
Autonomous vehicle lane boundary detection systems and methods
Min Bai and Gellert Sandor Mattyus and Namdar Homayounfar and Shenlong Wang and Shrindihi Kowshika Lakshmikanth and Raquel Urtasun
2021
Semantic Segmentation of Three-Dimensional Data
Chris Jia-Han Zhang and Wenjie Luo and Raquel Urtasun
2021
Jointly Learnable Behavior and Trajectory Planning for Autonomous Vehicles
Raquel Urtasun and Abbas Sadat and Mengye Ren and Andrei Pokrovsky and Yen-Chen Lin and Ersin Yumer
2021
Compression of images having overlapping fields of view using machine-learned models
Jerry Junkai Liu and Shenlong Wang and Raquel Urtasun
2021
End-to-end tracking of objects
Davi Eugenio Nascimento Frossard and Raquel Urtasun
2021
Conditional Entropy Coding for Efficient Video Compression
Jerry Junkai Liu and Shenlong Wang and Wei-Chiu Ma and Raquel Urtasun
2021
Systems and Methods for Answering Region Specific Questions
Sean Segal and Wenjie Luo and Eric Randall Kee and Ersin Yumer and Raquel Urtasun and Abbas Sadat
2021
Localization with Diverse Dataset for Autonomous Vehicles
Julieta Martinez Covarrubias and Raquel Urtasun and Shenlong Wang and Ioan Andrei Barsan and Gellert Sandor Mattyus and Sasha Doubov and FAN Hongbo
2021
Systems and Methods for Vehicle-to-Vehicle Communications for Improved Autonomous Vehicle Operations
Sivabalan Manivasagam and Ming Liang and Bin Yang and Wenyuan Zeng and Raquel Urtasun and Tsu-shuan Wang
2021
Systems and Methods for Vehicle-to-Vehicle Communications for Improved Autonomous Vehicle Operations
Sivabalan Manivasagam and Ming Liang and Bin Yang and Wenyuan Zeng and Raquel Urtasun and Tsu-shuan Wang
2021
Systems and Methods for Predicting Instance Geometry
Justin Liang and Namdar Homayounfar and Wei-Chiu Ma and Yuwen Xiong and Raquel Urtasun
2021
Systems and Methods for Generating Motion Forecast Data for a Plurality of Actors with Respect to an Autonomous Vehicle
LingYun Li and Bin Yang and Wenyuan Zeng and Ming Liang and Mengye Ren and Sean Segal and Raquel Urtasun
2021
Semantic segmentation of three-dimensional data
Chris Jia-Han Zhang and Wenjie Luo and Raquel Urtasun
2021
Differentiable annealed importance sampling and the perils of gradient noise
Guodong Zhang and Kyle Hsu and Jianing Li and Chelsea Finn and Roger B Grosse
2021
On Monotonic Linear Interpolation of Neural Network Parameters
James R Lucas and Juhan Bae and Michael R Zhang and Stanislav Fort and Richard Zemel and Roger B Grosse
2021
REFACTOR: Learning to Extract Theorems from Proofs
Jin Peng Zhou and Yuhuai Wu and Qiyang Li and Roger Baker Grosse
2021
Estimating Severity of Depression From Acoustic Features and Embeddings of Natural Speech
Sri Harsha Dumpala and Sheri Rempel and Katerina Dikaios and Mehri Sajjadian and Rudolf Uher and Sageev Oore
2021
High Frequency-Low Amplitude Oscillometry: Continuous Unobtrusive Monitoring of Respiratory Function on PAP Machines
Hamed Hanafi Alamdari and Luke Hacquebard and Stephen Driscoll and Kamal El-Sankary and David Roach and Robin Leblanc and Scott Lowe and Sageev Oore and Thomas Penzel and I Fietze and Michael Schmidt and Debra Morrison
2021
Controlling BigGAN Image Generation with a Segmentation Network
2021
Significance of Speaker Embeddings and Temporal Context for Depression Detection
Sri Harsha Dumpala and Sebastian Rodriguez and Sheri Rempel and Rudolf Uher and Sageev Oore
2021
f-Domain Adversarial Learning: Theory and Algorithms
David Acuna and Guojun Zhang and Marc T Law and Sanja Fidler
2021
EditGAN: High-Precision Semantic Image Editing
Huan Ling and Karsten Kreis and Daiqing Li and Seung Wook Kim and Antonio Torralba and Sanja Fidler
2021
Image-level or object-level? a tale of two resampling strategies for long-tailed detection
Nadine Chang and Zhiding Yu and Yu-Xiong Wang and Animashree Anandkumar and Sanja Fidler and Jose M Alvarez
2021
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
Tianchang Shen and Jun Gao and Kangxue Yin and Ming-Yu Liu and Sanja Fidler
2021
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Tianshi Cao and Alex Bie and Arash Vahdat and Sanja Fidler and Karsten Kreis
2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou and Amlan Kar and Maria Shugrina and Karsten Kreis and Andreas Geiger and Sanja Fidler
2021
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
Wenzheng Chen and Joey Litalien and Jun Gao and Zian Wang and Clement Fuji Tsang and Sameh Khamis and Or Litany and Sanja Fidler
2021
Image generation using one or more neural networks
Jonah Philion and Sanja Fidler
2021
Environment generation using one or more neural networks
Seung Wook Kim and Sanja Fidler and Jonah Philion and Antonio Torralba Barriuso
2021
Scalable Neural Data Server: A Data Recommender for Transfer Learning
Tianshi Cao and Sasha Alexandre Doubov and David Acuna and Sanja Fidler
2021
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
David Acuna and Jonah Philion and Sanja Fidler
2021
Method and system for color representation generation
Maria Shugrina and Amlan Kar and Sanja Fidler and Karan Singh
2021
Causal Scene BERT: Improving object detection by searching for challenging groups
Cinjon Resnick and Or Litany and Amlan Kar and Karsten Kreis and James Lucas and Kyunghyun Cho and Sanja Fidler
2021
Neural rendering for inverse graphics generation
Wenzheng Chen and Yuxuan Zhang and Sanja Fidler and Huan Ling and Jun Gao and Antonio Torralba Barriuso
2021
Unsupervised learning of scene structure for synthetic data generation
Jeevan Devaranjan and Sanja Fidler and Amlan Kar
2021
Systems, devices and methods for transfer learning with a mixture of experts model
Sanja Fidler and David Jesus Acuna Marrero and Xi Yan
2021
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Tianshi Cao and Alex Bie and Arash Vahdat and Sanja Fidler and Karsten Kreis
2021
Causal Scene BERT: Improving object detection by searching for challenging groups
Cinjon Resnick and Or Litany and Amlan Kar and Karsten Kreis and James Lucas and Kyunghyun Cho and Sanja Fidler
2021
Weighted clustering: Towards solving the user’s dilemma
Margareta Ackerman and Shai Ben-David and Simina Brânzei and David Loker
2021
Open Problem: Are all VC-classes CPAC learnable?
Sushant Agarwal and Nivasini Ananthakrishnan and Shai Ben-David and Tosca Lechner and Ruth Urner
2021
Learnability can be independent of set theory
Shai Ben-David and Pavel Hrubes and Shay Moran and Amir Shpilka and Amir Yehudayoff
2021
LTL2action: Generalizing LTL instructions for multi-task rl
Pashootan Vaezipoor and Andrew C Li and Rodrigo A Toro Icarte and Sheila A Mcilraith
2021
Learning reward machines: A study in partially observable reinforcement learning
Rodrigo Toro Icarte and Ethan Waldie and Toryn Q Klassen and Richard Valenzano and Margarita P Castro and Sheila A McIlraith
2021
BLAST: Latent Dynamics Models from Bootstrapping
Keiran Paster and Lev E McKinney and Sheila A McIlraith and Jimmy Ba
2021
Explaining the Plans of Agents via Theory of Mind
Maayan Shvo and Toryn Q Klassen and Sheila A McIlraith
2021
Be Considerate: Objectives, Side Effects, and Deciding How to Act
Parand Alizadeh Alamdari and Toryn Q Klassen and Rodrigo Toro Icarte and Sheila A McIlraith
2021
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing
Ji Xin and Raphael Tang and Yaoliang Yu and Jimmy Lin
2021
Are my deep learning systems fair? An empirical study of fixed-seed training
Shangshu Qian and Viet Hung Pham and Thibaud Lutellier and Zeou Hu and Jungwon Kim and Lin Tan and Yaoliang Yu and Jiahao Chen and Sameena Shah
2021
S: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
Xinlin Li and Bang Liu and Yaoliang Yu and Wulong Liu and Chunjing Xu and Vahid Partovi Nia
2021
Demystifying and Generalizing BinaryConnect
Tim Dockhorn and Yaoliang Yu and Eyyüb Sari and Mahdi Zolnouri and Vahid Partovi Nia
2021
DEVIATE: A Deep Learning Variance Testing Framework
Hung Viet Pham and Mijung Kim and Lin Tan and Yaoliang Yu and Nachiappan Nagappan
2021
Conditional Generative Quantile Networks via Optimal Transport and Convex Potentials
Jesse Sun and Dihong Jiang and Yaoliang Yu
2021
Revisiting flow generative models for Out-of-distribution detection
Dihong Jiang and Sun Sun and Yaoliang Yu
2021
-Mutual Information Contrastive Learning
Guojun Zhang and Yiwei Lu and Sun Sun and Hongyu Guo and Yaoliang Yu
2021
Splitting Algorithms for Federated Learning
Saber Malekmohammadi and Kiarash Shaloudegi and Zeou Hu and Yaoliang Yu
2021
An assessment of the structural resolution of various fingerprints commonly used in machine learning
Behnam Parsaeifard and Deb Sankar De and Anders S Christensen and Felix A Faber and Emir Kocer and Sandip De and Jörg Behler and O Anatole von Lilienfeld and Stefan Goedecker
2021
Ab initio machine learning in chemical compound space
Bing Huang and O Anatole von Lilienfeld
2021
Machine learning based energy-free structure predictions of molecules, transition states, and solids
Dominik Lemm and Guido Falk von Rudorff and O Anatole von Lilienfeld
2021
Machine learning meets chemical physics
Michele Ceriotti and Cecilia Clementi and O Anatole von Lilienfeld
2021
Toward the design of chemical reactions: Machine learning barriers of competing mechanisms in reactant space
Stefan Heinen and Guido Falk von Rudorff and O Anatole von Lilienfeld
2021
Machine learning of free energies in chemical compound space using ensemble representations: Reaching experimental uncertainty for solvation
Jan Weinreich and Nicholas J Browning and O Anatole von Lilienfeld
2021
Introduction: Machine Learning at the Atomic Scale
Michele Ceriotti and Cecilia Clementi and O Anatole von Lilienfeld
2021
Simplifying inverse materials design problems for fixed lattices with alchemical chirality
Guido Falk von Rudorff and O Anatole von Lilienfeld
2021
Density Functional Geometries and Zero-Point Energies in Ab Initio Thermochemical Treatments of Compounds with First-Row Atoms (H, C, N, O, F)
Dirk Bakowies and O Anatole von Lilienfeld
2021
Conformer-specific polar cycloaddition of dibromobutadiene with trapped propene ions
Ardita Kilaj and Jia Wang and Patrik Straňák and Max Schwilk and Uxía Rivero and Lei Xu and O Anatole von Lilienfeld and Jochen Küpper and Stefan Willitsch
2021
Elucidating an Atmospheric Brown Carbon Species—Toward Supplanting Chemical Intuition with Exhaustive Enumeration and Machine Learning
Enrico Tapavicza and Guido Falk von Rudorff and David O De Haan and Mario Contin and Christian George and Matthieu Riva and O Anatole Von Lilienfeld
2021
Learning Generalized Gumbel-max Causal Mechanisms
Guy Lorberbom and Daniel Johnson and Chris J Maddison and Daniel Tarlow and Tamir Hazan
2021
Lossy Compression for Lossless Prediction
Yann Dubois and Benjamin Bloem-Reddy and Karen Ullrich and Chris J Maddison
2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Yangjun Ruan and Karen Ullrich and Daniel Severo and James Townsend and Ashish Khisti and Arnaud Doucet and Alireza Makhzani and Chris J Maddison
2021
Selecting actions to be performed by a reinforcement learning agent using tree search
Thore Kurt Hartwig Graepel and Shih-Chieh Huang and David Silver and Arthur Clement Guez and Laurent Sifre and Ilya Sutskever and Christopher Maddison
2021
Dual space preconditioning for gradient descent
Chris J Maddison and Daniel Paulin and Yee Whye Teh and Arnaud Doucet
2021
Learning Branching Heuristics for Propositional Model Counting
Pashootan Vaezipoor and Gil Lederman and Yuhuai Wu and Chris J Maddison and Roger Grosse and Edward Lee and Sanjit A Seshia and Fahiem Bacchus
2021
Neural network systems implementing conditional neural processes for efficient learning
Tiago Miguel Sargento Pires Ramalho and Dan Rosenbaum and Marta Garnelo and Christopher Maddison and Seyed Mohammadali Eslami and Yee Whye Teh and Danilo Jimenez Rezende
2021
Unbiased gradient estimation with balanced assignments for mixtures of experts
Wouter Kool and Chris J Maddison and Andriy Mnih
2021
Learning to Extend Program Graphs to Work-in-Progress Code
Xuechen Li and Chris J Maddison and Daniel Tarlow
2021
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
Max B Paulus and Chris J Maddison and Andreas Krause
2021
Splicing is an alternate oncogenic pathway activation mechanism in glioma
Robert Siddaway and Scott Milos and Arun Kumaran Anguraj Vadivel and Tara HW Dobson and Jyothishmathi Swaminathan and Scott Ryall and Sanja Pajovic and Palak G Patel and Javad Nazarian and Oren Becher and Michael Brudno and Arun Ramani and Vidya Gopalakrishnan and Cynthia Hawkins
2020
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes
Sean Segal and Nishanth Kumar and Sergio Casas and Wenyuan Zeng and Mengye Ren and Jingkang Wang and Raquel Urtasun
2020
Direct policy gradients: Direct optimization of policies in discrete action spaces
Guy Lorberbom and Chris J Maddison and Nicolas Heess and Tamir Hazan and Daniel Tarlow
2020
Gradient Estimation with Stochastic Softmax Tricks
Max B Paulus and Dami Choi and Daniel Tarlow and Andreas Krause and Chris J Maddison
202
Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls
N. Meade, N. Barreyre, S. C. Lowe, and S. Oore
Proceedings of the 10th International Conference on Computational Creativity 2019
Synthesizing Environment-Aware Activities via Activity Sketches
Y. Liao, X. Puig, M. Boben, A. Torralba, and S. Fidler
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
Convolutional Recurrent Network for Road Boundary Extraction
J. Liang, N. Homayounfar, W. Ma, S. Wang, and R. Urtasun
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Generative Adversarial Networks for text using word2vec intermediaries
A. Budhkar, K. Vishnubhotla, S. Hossain, and F. Rudzicz
arXiv preprint 1904.02293 2019
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification
S. H. Y Li, K. Jamali, and F. Rudzicz
arXiv preprint 1811.07266 2019
Extracting relevant information from physician-patient dialogues for automated clinical note taking
S. Jeblee, F. Khattak, N. Crampton, M. Mamdani, and F. Rudzicz
LOUHI: International Workshop on Health Text Mining and Information Analysis 2019
Fast Convergence of Natural Gradient Descent for Overparameterized Neural Networks
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Advances in Neural Information Processing Systems (NeurIPS) 2019
Which algorithmic choices matter at which batch sizes? insights from a noisy quadratic model
G. Zhang, L. Li, Z. Nado, J. Martens, S. Sachdeva, G. Dahl, et al.
Advances in Neural Information Processing Systems (NeurIPS) 2019
Three mechanisms of weight decay regularization
G. Zhang, C. Wang, B. Xu, and R. Grosse
International Conference on Learning Representations (ICLR) 2019
Graph HyperNetworks for Neural Architecture Search
C. Zhang, M. Ren, and R. Urtasun
International Conference on Learning Representations 2019
Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise
Y. Wen, K. Luk, M. Gazeau, G. Zhang, H. Chan, and J. Ba
2019
Neural Graph Evolution: Automatic Robot Design
T. Wang, Y. Zhou, S. Fidler, and J. Ba
International Conference on Learning Representation 2019
Exploring Model-based Planning with Policy Networks
T. Wang, and J. Ba
2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
C. Wang, R. Grosse, S. Fidler, and G. Zhang
Proceedings of the 36th International Conference on Machine Learning (ICML) 2019
Object Instance Annotation with Deep Extreme Level Set Evolution
Z. Wang, H. Ling, D. Acuna, A. Kar, and S. Fidler
CVPR 2019
Neural Graph Evolution: Automatic Robot Design
T. Wang, Y. Zhou, S. Fidler, and J. Ba
International Conference on Learning Representations 2019
Differentiable Hebbian Plasticity for Continual Learning
V. Thangarasa, T. Miconi, and G. Taylor
International Conference on Machine Learning (ICML) Workshop on Adaptive and Multitask Learning 2019
Functional Variational Bayesian Neural Networks
S. Sun, G. Zhang, J. Shi, and R. Grosse
International Conference on Learning Representations (ICLR) 2019
Flexibly Fair Representation Learning by Disentanglement
E. Creager, D. Madras, J. Jacobsen, M. Weis, K. Swersky, T. Pitassi, et al.
Proceedings of the 36th International Conference on Machine Learning 2019
Creative Flow+ Dataset
M. Shugrina, Z. Liand, A. Kar, J. Li, A. Singh, K. Singh, et al.
CVPR 2019
Classification and Re-Identification of Fruit Fly Individuals Across Days with Convolutional Neural Networks
N. Murali, J. Schneider, J. Levine, and G. Taylor
IEEE Winter Conference on Applications of Computer Vision (WACV) 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
M. MacKay, P. Vicol, J. Lorraine, D. Duvenaud, and R. Grosse
International Conference on Learning Representations (ICLR) 2019
Don’t Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
J. Lucas, G. Tucker, R. B. Grosse, and M. Norouzi
Advances in Neural Information Processing Systems (NeurIPS) 2019
Aggregated momentum: Stability through passive damping
J. Lucas, S. Sun, R. Zemel, and R. Grosse
International Conference on Learning Representations (ICLR) 2019
Clinically Accurate Chest X-Ray Report Generation
G. Liu, T. H. Hsu, M. McDermott, W. Boag, W. Weng, P. Szolovits, et al.
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Efficient Graph Generation with Graph Recurrent Attention Networks
R. Liao, Y. Li, Y. Song, S. Wang, C. Nash, W. L. Hamilton, et al.
Advances in Neural Information Processing Systems (NeurIPS) 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
R. Liao, Z. Zhao, R. Urtasun, and R. Zemel
International Conference on Learning Representations 2019
Multi-Task Multi-Sensor Fusion for 3D Object Detection
M. Liang, B. Yang, Y. Chen, R. Hu, and R. Urtasun
2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Q. Li, S. Haque, C. Anil, J. Lucas, R. B. Grosse, and J. Jacobsen
Advances in Neural Information Processing Systems (NeurIPS) 2019
Lorentzian Distance Learning
M. T. Law, J. Snell, and R. S. Zemel
2019
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
M. T. Law, J. Snell, A. Farahmand, R. Urtasun, and R. S. Zemel
International Conference on Learning Representations 2019
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning
D. Kumar, I. Ben-Daya, K. Vats, J. Feng, G. Taylor, and A. Wong
IEEE CVPR Workshop on Explainable Computer Vision 2019
Understanding Attention in Graph Neural Networks
B. Knyazev, G. Taylor, and M. Amer
International Conference on Learning Representations (ICLR) Workshop on Representation Learning on Graphs and Manifolds 2019
Visual Reasoning by Progressive Module Networks
S. W. Kim, M. Tapaswi, and S. Fidler
International Conference on Learning Representations 2019
DOM-Q-NET: Grounded RL on Structured Language
S. Jia, J. Kiros, and J. Ba
International Conference on Learning Representation 2019
A deep learning system can accurately classify primary and metastatic cancers based on patterns of passenger mutations
W. Jiao, G. Atwal, P. Polak, R. Karlic, E. Cuppen, A. Danyi, et al.
bioRxiv 2019
Automatically determining cause of death from verbal autopsy narratives
S. Jeblee, M. Gomes, P. Jha, F. Rudzicz, and G. Hirst
BMC Medical Informatics 2019 9:127
Development of a ternary hybrid fNIRS-EEG brain-computer interface based on imagined speech
A. Sereshkey, R. Yousefi, A. W. F Rudzicz, and T. Chau
Brain-Computer Interfaces (Accepted) 2019
DARNet: Deep Active Ray Network for Building Segmentation
D. Cheng, R. Liao, S. Fidler, and R. Urtasun
CoRR 2019
Deep Rigid Instance Scene Flow
W. Ma, S. Wang, R. Hu, Y. Xiong, and R. Urtasun
CoRR 2019
Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations
D. Acuna, A. Kar, and S. Fidler
CoRR 2019
Action Recognition from Single Timestamp Supervision in Untrimmed Videos
D. Moltisanti, S. Fidler, and D. Damen
CoRR 2019
A Variational Auto-Encoder Model for Stochastic Point Processes
N. Mehrasa, A. A. Jyothi, T. Durand, J. He, L. Sigal, and G. Mori
CoRR 2019
Neural Sequential Phrase Grounding (SeqGROUND)
P. Dogan, L. Sigal, and M. H. Gross
CoRR 2019
Fast Interactive Object Annotation with Curve-GCN
H. Ling, J. Gao, A. Kar, W. Chen, and S. Fidler
CoRR 2019
Dynamic Measurement Scheduling for Event Forecasting using Deep RL
C. Chang, M. Mai, and A. Goldenberg
CoRR 2019
UPSNet: A Unified Panoptic Segmentation Network
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CoRR 2019
Accessible data, health AI, and the human right to benefit from science and its applications
M. Ghassemi, A. Goldenberg, Q. Morris, F. Rudzicz, B. Wang, R. Zemel, et al.
Health Law in Canada 2019 40(1):37-43
From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes
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IEEE Transactions on Neural Systems and Rehabilitation Engineering 2019 :1-1
Explainable artificial intelligence for safe intraoperative decision support
L. Gordon, T. Grantcharov, and F. Rudzicz
JAMA Surgery 2019
A survey of word embeddings for clinical text
F. Khattak, S. Jeblee, C. Pou-Prom, M. Abdalla, C. Meaney, and F. Rudzicz
Journal of Biomedical Informatics 2019 4
Artificial intelligence and the implementation challenge
J. Shaw, F. Rudzicz, T. Jamieson, and A. Goldfarb
Journal of Medical Internet Research 2019 21(7):e13659
On the computability of conditional probability
N. L. Ackerman, C. E. Freer, and D. M. Roy
Journal of the ACM 2019 66(3)
Reconstructing Quantum States with Generative Models
J. Carrasquilla, G. Torlai, R. G. Melko, and L. Aolita
Nature Machine Intelligence 2019 1(3):155
Restricted Boltzmann Machines in Quantum Physics
R. G. Melko, G. Carleo, J. Carrasquilla, and J. I. Cirac
Nature Physics 2019 :1
Patterns of joint involvement in juvenile idiopathic arthritis and prediction of disease course: A prospective study with multilayer non-negative matrix factorization
PLOS Medicine 2019 16(2):1-22
Talk2Me: Automated linguistic data collection for personal assessment
M. Komeili, C. Pou-prom, D. Liaqat, K. Fraser, M. Yancheva, and F. Rudzicz
PLoS ONE 2019 14(3):e0212342
The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data
L. A. Celi, L. Citi, M. Ghassemi, and T. J. Pollard
PloS one 2019 14(1):e0210232
WearBreathing: Real World Respiratory Rate Monitoring Using Smartwatches
D. Liaqat, M. Abdella, P. Abed-Esfahani, M. Gabel, T. Son, R. Wu, et al.
ACM conference on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019 3(2)
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
Viknesh Sounderajah and Hutan Ashrafian and Sherri Rose and Nigam H Shah and Marzyeh Ghassemi and Robert Golub and Charles E Kahn and Andre Esteva and Alan Karthikesalingam and Bilal Mateen and Dale Webster and Dan Milea and Daniel Ting and Darren Treanor and Dominic Cushnan and Dominic King and Duncan McPherson and Ben Glocker and Felix Greaves and Leanne Harling and Johan Ordish and Jérémie F Cohen and Jon Deeks and Mariska Leeflang and Matthew Diamond and Matthew DF McInnes and Melissa McCradden and Michael D Abràmoff and Pasha Normahani and Sheraz R Markar and Stephanie Chang and Xiaoxuan Liu and Susan Mallett and Shravya Shetty and Alastair Denniston and Gary S Collins and David Moher and Penny Whiting and Patrick M Bossuyt and Ara Darzi
2019
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
Natalie Dullerud and Karsten Roth and Kimia Hamidieh and Nicolas Papernot and Marzyeh Ghassemi
2019
Sparse convolutional neural networks
Raquel Urtasun and Mengye Ren and Andrei Pokrovsky and Bin Yang
2019
Relative energies without electronic perturbations via integral transform
Simon León Krug and Guido Falk von Rudorff and O Anatole von Lilienfeld
2019
On empirical comparisons of optimizers for deep learning
Dami Choi and Christopher J Shallue and Zachary Nado and Jaehoon Lee and Chris J Maddison and George E Dahl
2019
Hamiltonian descent for composite objectives
Brendan O'Donoghue and Chris J Maddison
2019
Learning Latent Subspaces in Variational Autoencoders
J. Klys, J. Snell, and R. Zemel
Advances in Neural Information Processing Systems 31 2018
Unsupervised Video Object Segmentation for Deep Reinforcement Learning
V. Goel, J. Weng, and P. Poupart
Advances in Neural Information Processing Systems 31 2018
Occam’s razor is insufficient to infer the preferences of irrational agents
S. Armstrong, and S. Mindermann
Advances in Neural Information Processing Systems 31 2018
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
H. Ashtiani, S. Ben-David, N. Harvey, C. Liaw, A. Mehrabian, and Y. Plan
Advances in Neural Information Processing Systems 31 2018
Isolating Sources of Disentanglement in Variational Autoencoders
T. Q. Chen, X. Li, R. B. Grosse, and D. K. Duvenaud
Advances in Neural Information Processing Systems 31 2018
Neural Guided Constraint Logic Programming for Program Synthesis
L. Zhang, G. Rosenblatt, E. Fetaya, R. Liao, W. Byrd, M. Might, et al.
Advances in Neural Information Processing Systems 31 2018
A Neural Compositional Paradigm for Image Captioning
B. Dai, S. Fidler, and D. Lin
Advances in Neural Information Processing Systems 31 2018
The more fine-grained the better for transfer learning
F. Mahdisoltani, G. Berger, W. Gharbieh, R. Memisevic, and D. Fleet
NeurIPS Workshop on Modeling and Decision Making in the Spatiotemporal Domain 2018
TzK: Flow-Based Conditional Generative Model
M. Livne, and D. Fleet
NeurIPS Workshop on Bayesian Deep Learning 2018
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture
M. Livne, L. Sigal, M. Brubaker, and D. Fleet
Computer and Robot Vision (CRV) 2018
Neural Relational Inference for Interacting Systems
T. Kipf, E. Fetaya, K. Wang, M. Welling, and R. Zemel
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
W. Grathwohl, D. Choi, Y. Wu, G. Roeder, and D. Duvenaud
International Conference on Learning Representations (ICLR) 2018
VSE++: Improved visual-semantic embeddings with hard negatives
F. Faghri, D. Fleet, J. Kiros, and S. Fidler
British Machine Vision Conference (BMVC) 2018
ChainGAN: A sequential approach to GANs
S. Hossain, K. Jamali, Y. Li, and F. Rudzicz
arXiv preprint 1811.08081 2018
Dropout during inference as a model for neurological degeneration in an image captioning network
B. Li, R. Zhang, and F. Rudzicz
arXiv preprint 1808.03747 2018
Deconfounding age effects with fair representation learning when assessing dementia
Z. Zhu, J. Novikova, and F. Rudzicz
arXiv preprint 1807.07217 2018
Developing innovative interdisciplinary technological solutions for caregivers of older adults within Canada’s technology and aging network
P. Chauhan, J. Boger, T. Hussein, S. Moon, F. Rudzicz, and J. Polgar
12th ISPRM World Congress, Paris France 2018
Creating the CARE\_RATE interface through multi-modal participatory design with caregivers of people with dementia
P. Chauhan, J. Boger, T. Hussein, S. Moon, F. Rudzicz, and J. Polgar
11th World Conference of the International Society for Gerontechnology (ISG2018), St. Petersburg, FL 2018
The Impact of Design on Feelings of Trust of Online Information for Family Caregivers of People with Dementia
T. Hussein, and J. B. F. Rudzicz
British Computer Society 32nd Human Computer Interaction Conference (BHCI-2018), Belfast, UK 2018
Finding Patterns of Events in Laparoscopic Roux-en-Y Gastric Bypass with Machine Learning Techniques
L. Gordon, F. Rudzicz, and T. Grantcharov
Scientific Forum program at the American College of Surgeons 2018
Feasibility Of Using Android Smartwatches For Nearly Continuous Monitoring Of Patients With COPD
R. Wu, D. Liaqat, E. Lara, T. Son, F. Rudzicz, H. Alshaer, et al.
Proceedings of the American Thoracic Society 2018
Towards Ambulatory Cough Monitoring using Smartwatches
D. Liaqat, R. Wu, T. Son, A. Gershon, H. Alshaer, E. Lara, et al.
Proceedings of the American Thoracic Society 2018
Similarity Network Fusion: A Novel Application to Making Clinical Diagnoses
A. Zizzo, L. Erdman, B. Feldman, and A. Goldenberg
Rheumatic Disease Clinics of North America; v44 n2; doi: 10.1016/j.rdc.2018.01.005. 2018
Noisy Natural Gradient as Variational Inference
G. Zhang, S. Sun, D. Duvenaud, and R. Grosse
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Neural Guided Constraint Logic Programming for Program Synthesis
L. Zhang, G. Rosenblatt, E. Fetaya, R. Liao, W. E. Byrd, M. Might, et al.
Advances in Neural Information Processing Systems (NeurIPS) 2018
Leveraging Constraint Logic Programming for Neural Guided Program Synthesis
L. Zhang, G. Rosenblatt, E. Fetaya, R. Liao, W. E. Byrd, R. Urtasun, et al.
2018
Inference in probabilistic graphical models by Graph Neural Networks
K. Yoon, R. Liao, Y. Xiong, L. Zhang, E. Fetaya, R. Urtasun, et al.
2018
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
Y. Wu, M. Ren, R. Liao, and R. Grosse
International Conference on Learning Representations (ICLR) 2018
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
Y. Wen, P. Vicol, J. Ba, D. Tran, and R. Grosse
International Conference on Learning Representations (ICLR) 2018
NerveNet: Learning Structured Policy with Graph Neural Networks
T. Wang, R. Liao, J. Ba, and S. Fidler
International Conference on Learning Representation 2018
Adversarial Distillation of Bayesian Neural Network Posteriors
K. Wang, P. Vicol, J. Lucas, L. Gu, R. Grosse, and R. Zemel
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
The Ontario Data Safe Haven: Bringing High Performance Computing to Population-wide Data Assets
J. Charles, V. P., A. Paprica, M. Brudno, C. Virtanen, W. Wodchis, et al.
Internationa Journal of Population Data Science 2018
Self-Paced Learning with Adaptive Deep Visual Embeddings
V. Thangarasa, and G. Taylor
British Machine Vision Conference (BMVC) 2018
Differentiable Compositional Kernel Learning for Gaussian Processes
S. Sun, G. Zhang, C. Wang, W. Zeng, J. Li, and R. Grosse
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Motif models for RNA-binding proteins
A. Sasse, K. Laverty, T. Hughes, and Q. Morris
2018
On the convergence and robustness of training GANs with regularized optimal transport
M. Sanjabi, J. Ba, M. Razaviyayn, and J. D. Lee
Advances in Neural Information Processing Systems 2018
Reconstructing evolutionary trajectories of mutations in cancer
Y. Rubanova, R. Shi, R. Li, J. Wintersinger, A. Deshwar, N. Sahin, et al.
2018
The Elephant in The Room
A. Rosenfeld, R. Zemel, and J. K. Tsotsos
2018
Meta-Learning for Semi-Supervised Few-Shot Classification
M. Ren, E. Triantafillou, S. Ravi, J. Snell, K. Swersky, J. B. Tenenbaum, et al.
International Conference on Learning Representations (ICLR) 2018
Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU
S. Tonekaboni, M. Mazwi, P. Laussen, D. Eytan, R. Greer, S. D. Goodfellow, et al.
Proceedings of the 3rd Machine Learning for Healthcare Conference 2018
Adversarial Distillation of Bayesian Neural Network Posteriors
K. Wang, P. Vicol, J. Lucas, L. Gu, R. Grosse, and R. Zemel
Proceedings of the 35th International Conference on Machine Learning 2018
Learning to Reweight Examples for Robust Deep Learning
M. Ren, W. Zeng, B. Yang, and R. Urtasun
Proceedings of the 35th International Conference on Machine Learning 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
Y. Pan, A. Farahmand, M. White, S. Nabi, P. Grover, and D. Nikovski
Proceedings of the 35th International Conference on Machine Learning 2018
Learning Adversarially Fair and Transferable Representations
D. Madras, E. Creager, T. Pitassi, and R. Zemel
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Reviving and Improving Recurrent Back-Propagation
R. Liao, Y. Xiong, E. Fetaya, L. Zhang, K. Yoon, X. Pitkow, et al.
Proceedings of the 35th International Conference on Machine Learning 2018
Neural Relational Inference for Interacting Systems
T. Kipf, E. Fetaya, K. Wang, M. Welling, and R. Zemel
Proceedings of the 35th International Conference on Machine Learning 2018
Inference Suboptimality in Variational Autoencoders
C. Cremer, X. Li, and D. Duvenaud
Proceedings of the 35th International Conference on Machine Learning 2018
Kronecker-factored curvature approximations for recurrent neural networks
J. Martens, J. Ba, and M. Johnson
International Conference on Learning Representation 2018
Predict Responsibly: Increasing Fairness by Learning to Defer
R. Z. David Madras
2018
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
D. Madras, T. Pitassi, and R. Zemel
Advances in Neural Information Processing Systems (NeurIPS) 2018
Stochastic Layer-Wise Precision in Deep Neural Networks
G. Lacey, G. Taylor, and S. Areibi
Conference on Uncertainty in Artificial Intelligence (UAI) 2018
Understanding Anatomy Classification through Attentive Response Maps
D. Kumar, V. Menkovski, G. Taylor, and A. Wong
IEEE International Symposium on Biomedical Imaging (ISBI) 2018
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules
B. Knyazev, X. Lin, M. R. Amer, and G. Taylor
Neural Information Processing Systems (NeurIPS) Workshop on Machine Learning for Molecules and Materials 2018
Learning Latent Subspaces in Variational Autoencoders
J. Klys, J. Snell, and R. Zemel
Advances in Neural Information Processing Systems (NeurIPS) 2018
Quantitatively Evaluating GANs with Divergences Proposed for Training
D. J. Im, H. Ma, G. Taylor, and K. Branson
International Conference on Learning Representations (ICLR) 2018
Gradient-based Optimization of Neural Network Architecture
W. Grathwohl, E. Creager, S. K. S. Ghasemipour, and R. Zemel
2018
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
W. Grathwohl, D. Choi, Y. Wu, G. Roeder, and D. Duvenaud
2018
Predicting Adversarial Examples with High Confidence
A. Galloway, G. Taylor, and M. Moussa
2018
Adversarial Examples as an Input-Fault Tolerance Problem
A. Galloway, A. Golubeva, and G. Taylor
Neural Information Processing Systems (NeurIPS) Workshop on Security in Machine Learning 2018
Attacking Binarized Neural Networks
A. Galloway, G. Taylor, and M. Moussa
International Conference on Learning Representations (ICLR) 2018
Adversarial Training Versus Weight Decay
A. Galloway, T. Tanay, and G. Taylor
2018
Keep Drawing It: Iterative language-based image generation and editing
A. El-Nouby, S. Sharma, H. Schulz, D. Hjelm, L. E. Asri, S. E. Kahou, et al.
Neural Information Processing Systems (NeurIPS) Workshop on Visually Grounded Interaction and Language (ViGIL) 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks
T. DeVries, and G. Taylor
2018
Inference Suboptimality in Variational Autoencoders
C. Cremer, X. Li, and D. Duvenaud
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Isolating Sources of Disentanglement in Variational Autoencoders
R. T. Q. Chen, X. Li, R. Grosse, and D. Duvenaud
Advances in Neural Information Processing Systems (NeurIPS) 2018
Reversible recurrent neural networks
M. MacKay, P. Vicol, J. Ba, and R. B. Grosse
Advances in Neural Information Processing Systems (NeurIPS) 2018
A Coordinate-Free Construction of Scalable Natural Gradient
K. Luk, and R. Grosse
2018
Stochastic Hyperparameter Optimization through Hypernetworks
J. Lorraine, and D. Duvenaud
2018
Graph Partition Neural Networks for Semi-Supervised Classification
R. Liao, M. Brockschmidt, D. Tarlow, A. Gaunt, R. Urtasun, and R. S. Zemel
2018
Racial disparities and mistrust in end-of-life care
W. Boag, H. Suresh, L. A. Celi, P. Szolovits, and M. Ghassemi
2018
Modeling Mistrust in End-of-Life Care
W. Boag, H. Suresh, L. A. Celi, P. Szolovits, and M. Ghassemi
2018
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
F. Baradel, C. Wolf, J. Mille, and G. Taylor
Proc.~of the 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) 2018
Eigenvalue corrected noisy natural gradient
J. Bae, G. Zhang, and R. Grosse
2018
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
D. Acuna, H. Ling, A. Kar, and S. Fidler
CVPR 2018
Now You Shake Me: Towards Automatic 4D Cinema
Y. Zhou, M. Tapaswi, and S. Fidler
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
Learning Discrete Weights Using the Local Reparameterization Trick
O. Shayer, D. Levi, and E. Fetaya
International Conference on Learning Representations (ICLR) 2018
Learning Latent Representations of Music to Generate Interactive Musical Palettes
A. Roberts, J. Engel, S. Oore, and D. Eck
Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), Tokyo, Japan, March 11, 2018. 2018
Neural Ordinary Differential Equations
R. T. Q. Chen, Y. Rubanova, J. Bettencourt, and D. Duvenaud
Advances in Neural Information Processing Systems (NeurIPS) 2018
Global Non-convex Optimization with Discretized Diffusions
M. A. Erdogdu, L. Mackey, and O. Shamir
Advances in Neural Information Processing Systems 31 2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
S. Bartunov, A. Santoro, B. Richards, L. Marris, G. E. Hinton, and T. Lillicrap
Advances in Neural Information Processing Systems 31 2018
Iterative Value-Aware Model Learning
A. Farahmand
Advances in Neural Information Processing Systems 31 2018
Reversible Recurrent Neural Networks
M. MacKay, P. Vicol, J. Ba, and R. B. Grosse
Advances in Neural Information Processing Systems 31 2018
Data-dependent PAC-Bayes priors via differential privacy
G. K. Dziugaite, and D. M. Roy
Advances in Neural Information Processing Systems 31 2018
Monte-Carlo Tree Search for Constrained POMDPs
J. Lee, G. Kim, P. Poupart, and K. Kim
Advances in Neural Information Processing Systems 31 2018
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
P. Jaini, P. Poupart, and Y. Yu
Advances in Neural Information Processing Systems 31 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
M. Sanjabi, J. Ba, M. Razaviyayn, and J. D. Lee
Advances in Neural Information Processing Systems 31 2018
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks
A. Kalra, A. Rashwan, W. Hsu, P. Poupart, P. Doshi, and G. Trimponias
Advances in Neural Information Processing Systems 31 2018
Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks
S. Jeblee, A. Budhkar, S. Milic, J. Pinto, C. Pou-Prom, K. Vishnubhotla, et al.
CLEF 2018 eHealth Task 1 2018
Semi-supervised classification by reaching consensus among modalities
Z. Zhu, J. Novikova, and F. Rudzicz
NeurIPS IRASL 2018
Robustness against the channel effect in pathological voice detection
Y. Hsu, Z. Zhu, C. Wang, S. Fang, F. Rudzicz, and Y. Tsao
NeurIPS ML4H 2018
Learning multiview embeddings for assessing dementia
C. Pou-Prom, and F. Rudzicz
EMNLP 2018
A Textual Analysis of U.S. Corporate Social Responsibility Reports
P. Clarkson, J. Ponn, G. Richardson, F. Rudzicz, A. Tsang, and J. Wang
2018 Canadian Academic Accounting Association (CAAA) Annual Conference 2018
Interactive Search through Iterative Refinement
M. Wambua, S. Raimondo, J. Boger, J. Polgar, H. Chinaei, and F. Rudzicz
2nd International Workshop on Conversational Approaches to Information Retrieval (CAIR'18) at SIGIR 2018
Challenges with Real-World Smartwatch based Audio Monitoring
D. Liaqat, R. Wu, A. Gershon, H. Alshaer, F. Rudzicz, and E. Lara
WearSys'18: 4th ACM Workshop on wearable systems and applications 2018
Speech in Smartwatch based Audio
D. Liaqat, R. Wu, A. Gershon, H. Alshaer, F. Rudzicz, and E. Lara
MobiSys'18: The 16th Annual International Conference on Mobile Systems, Applications, and Services 2018
Reality Recalled: Elders, Memory and VR
M. Ladly, T. Bakker, K. Chadha, G. Farrelly, K. Micak, G. Penn, et al.
Proceedings of the 2018 IEEE International Conference on Virtual Systems and Multimedia (VSMM) 2018
Touch-Supported Voice Recording to Facilitate Forced Alignment of Text and Speech in an E-Reading Interface
R. Axtell, C. Munteanu, C. Epp, F. Rudzicz, and Y. Aly
Proceedings of the 2018 ACM International Conference on Intelligent User Interfaces 2018
Empirical Risk Minimization under Fairness Constraints
M. Donini, L. Oneto, S. Ben-David, J. Shawe-Taylor, and M. Pontil
Advances in Neural Information Processing Systems (NeurIPS) 2018
Data-dependent PAC-Bayes priors via differential privacy
G. K. Dziugaite, and D. M. Roy
Advances in Neural Information Processing Systems (NeurIPS) 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors
G. K. Dziugaite, and D. M. Roy
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation
B. Nestor, M. B. A. McDermott, G. Chauhan, T. Naumann, M. C. Hughes, A. Goldenberg, et al.
2018
The Effect of Heterogeneous Data for Alzheimer’s Disease Detection from Speech
A. Balagopalan, J. Novikova, F. Rudzicz, and M. Ghassemi
M. Ghassemi, M. Pushkarna, J. Wexler, J. Johnson, and P. Varghese
2018
Algorithmic barriers to representing conditional independence
N. L. Ackerman, J. Avigad, C. E. Freer, D. M. Roy, and J. M. Rute
Proc. Conference on Logic in Computer Science (LICS) 2018
Global Non-convex Optimization with Discretized Diffusions
M. A. Erdogdu, L. Mackey, and O. Shamir
2018
A Face-to-Face Neural Conversation Model
H. Chu, D. Li, and S. Fidler
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 2018 :7113-7121
Automatic chemical design using a data-driven continuous representation of molecules
R. Gomez-Bombarelli, J. N. Wei, D. Duvenaud, J. M. Hernandez-Lobato, B. Sanchez-Lengeling, D. Sheberla, et al.
American Chemical Society Central Science 2018
MySurgeryRisk and Machine Learning: A Promising Start to Real-time Clinical Decision Support
L. Gordon, P. Austin, F. Rudzicz, and T. Grantcharov
Annals of Surgery 2018 269(1):14-15
The evolutionary history of 2,658 cancers
M. Gerstung, C. Jolly, I. Leshchiner, S. C. Dentro, S. Gonzalez, D. Rosebrock, et al.
bioRxiv 2018
TrackSig: reconstructing evolutionary trajectories of mutation signature exposure
Y. Rubanova, R. Li, J. Wintersinger, N. Sahin, A. Deshwar, and Q. Morris
bioRxiv 2018
Portraits of genetic intra-tumour heterogeneity and subclonal selection across cancer types
S. C. Dentro, I. Leshchiner, K. Haase, M. Tarabichi, J. Wintersinger, A. G. Deshwar, et al
bioRxiv 2018
The evolutionary landscape of localized prostate cancers drives clinical aggression
S. M. G. Espiritu, L. Y. Liu, Y. Rubanova, V. Bhandari, E. M. Holgersen, L. M. Szyca, et al.
Cell 2018 173(4):1003--1013
SurfConv: Bridging 3D and 2D Convolution for RGBD Images
H. Chu, W. Ma, K. Kundu, R. Urtasun, and S. Fidler
CoRR 2018
Prediction of New Onset Diabetes after Liver Transplant
A. Yasodhara, M. Bhat, and A. Goldenberg
CoRR 2018
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL
C. Chang, M. Mai, and A. Goldenberg
CoRR 2018
Lifelong Learning for Image Captioning by Asking Natural Language Questions
K. Shen, A. Kar, and S. Fidler
CoRR 2018
DeepFlux for Skeletons in the Wild
Y. Wang, Y. Xu, S. Tsogkas, X. Bai, S. J. Dickinson, and K. Siddiqi
CoRR 2018
Image Generation from Layout
B. Zhao, L. Meng, W. Yin, and L. Sigal
CoRR 2018
Scene Categorization from Contours: Medial Axis Based Salience Measures
M. Rezanejad, G. Downs, J. Wilder, D. B. Walther, A. D. Jepson, S. J. Dickinson, et al.
CoRR 2018
Invertible Residual Networks
J. Behrmann, D. Duvenaud, and J. Jacobsen
CoRR 2018
Middle-Out Decoding
S. Mehri, and L. Sigal
CoRR 2018
Understanding the Origins of Bias in Word Embeddings
M. Brunet, C. Alkalay-Houlihan, A. Anderson, and R. S. Zemel
CoRR 2018
VirtualHome: Simulating Household Activities via Programs
X. Puig, K. Ra, M. Boben, J. Li, T. Wang, S. Fidler, et al.
CoRR 2018
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
F. Baradel, C. Wolf, J. Mille, and G. W. Taylor
CoRR 2018
NeuroSpeech: An open-source software for Parkinson’s speech analysis
J. Orozco-Arroyave, J. Vasquez-Correa, J. Vargas-Bonilla, R. Arora, N. Dehak, P. Nidadavolu, et al.
Digital Signal Processing 2018 77:207--221
QAPA: a new method for the systematic analysis of alternative polyadenylation from RNA-seq data
K. C. H. Ha, B. J. Blencowe, and Q. Morris
Genome Biology 2018 19(1):45
QAPA: a new method for the systematic analysis of alternative polyadenylation from RNA-seq data
K. C. Ha, B. J. Blencowe, and Q. Morris
Genome Biology 2018 19:45
Modified mean shift algorithm
Y. A. Ghassabeh, and F. Rudzicz
IET Image Processing 2018 12(12):2172-2177
Feasibility of using a smartwatch to intensively monitor patients with COPD
R. Wu, D. Liaqat, E. D. Lara, T. Son, F. Rudzicz, H. Alshaer, et al.
JMIR Mhealth Uhealth 2018 6(6)
Voxel-Wise Logistic Regression and Leave-One-Source-Out Cross Validation for White Matter Hyperintensity Segmentation
J. Knight, G. Taylor, and A. Khademi
Magnetic Resonance Imaging 2018 54:119--136
Algorithmic Advances in Single Particle Cryo-EM Data Processing
A. Punjani, H. Zhang, J. Rubinstein, M. Brubaker, and D. Fleet
Microscopy and Microanalysis 2018 24(S1):868-869
Observation of Topological Phenomena in a Programmable Lattice of 1,800 Qubits
A. D. King, J. Carrasquilla, J. Raymond, I. Ozfidan, E. Andriyash, A. Berkley, et al.
Nature 2018 560(7719):456
Observation of topological phenomena in a programmable lattice of 1,800 qubits
A. D. King, J. Carrasquilla, J. Raymond, I. Ozfidan, E. Andriyash, A. Berkley, et al.
Nature 2018 560(7719):456--460
Neural-Network Quantum State Tomography
G. Torlai, G. Mazzola, J. Carrasquilla, M. Troyer, R. Melko, and G. Carleo
Nature Physics 2018 14(5):447
Machine learning for MEG during speech tasks
D. Kostas, E. Pang, and F. Rudzicz
Nature Scientific Reports 2018 9:1609
This time with feeling: learning expressive musical performance
S. Oore, I. Simon, S. Dieleman, D. Eck, and K. Simonyan
Neural Computing and Applications 2018
GeneMANIA update 2018
M. Franz, H. Rodriguez, C. Lopes, K. Zuberi, J. Montojo, G. D. Bader, et al.
Nucleic Acids Research 2018 46(W1):W60-W64
Can Drosophila melanogaster tell who’s who?
J. Schneider, N. Murali, G. Taylor, and J. Levine
PLOS One 2018 13(10)
Ambulatory assessment of phonotraumatic vocal hyperfunction using glottal airflow measures estimated from neck-surface acceleration
J. P. Cortés, V. M. Espinoza, M. Ghassemi, D. D. Mehta, J. H. Van Stan, R. E. Hillman, et al.
PloS one 2018 13(12):e0209017
High-Density Proximity Mapping Reveals the Subcellular Organization of mRNA-Associated Granules and Bodies
J. Youn, W. Dunham, S. Hong, J. Knight, M. Bashkurov, G. Chen, et al.
PubMed.gov 2018
Privacy versus artificial intelligence in medicine
T. Rohringer, A. Budhkar, and F. Rudzicz
University of Toronto Medical Journal 2018 96(1)
Conditional neural processes
Marta Garnelo and Dan Rosenbaum and Chris J Maddison and Tiago Ramalho and David Saxton and Murray Shanahan and Yee Whye Teh and Danilo J Rezende and SM Eslami
2018
Doubly reparameterized gradient estimators for Monte Carlo objectives
George Tucker and Dieterich Lawson and Shixiang Gu and Chris J Maddison
2018
Hamiltonian descent methods
Chris J Maddison and Daniel Paulin and Yee Whye Teh and Brendan O'Donoghue and Arnaud Doucet
2018
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
Will Grathwohl and Kevin Swersky and Milad Hashemi and David Duvenaud and Chris J Maddison
2018
Twisted variational sequential monte carlo
Dieterich Lawson and George Tucker and Christian A Naesseth and Chris Maddison and Ryan P Adams and Yee Whye Teh
2018
Training a policy neural network and a value neural network
Thore Kurt Hartwig Graepel and Shih-Chieh Huang and David Silver and Arthur Clement Guez and Laurent Sifre and Ilya Sutskever and Christopher Maddison
2018
Early Detection of Cognitive Disorders Such As Dementia on the Basis of Speech Analysis – a Cross-Linguistic Comparison of Speech Features
A. Konig, F. Rudzicz, K. Fraser, L. Kaufman, J. Alexandersson, N. Linz, et al.
Proceedings of AAIC 2017
Studying neurodegeneration with automated linguistic analysis of speech data
E. Korcovelos, K. Fraser, J. Meltzer, G. Hirst, and F. Rudzicz
Proceedings of AAIC 2017
Ludwig: A conversational robot for people with Alzheimer’s
F. Rudzicz, S. Raimondo, and C. Pou-Prom
Proceedings of AAIC 2017
CARE-RATE: Initial development of an artificially intelligent online tool for connecting caregivers to relevant support
J. Boger, F. Rudzicz, H. Chinanei, K. JØnasdØttir, M. Wambua, and J. Polgar
RESNA 2017
Scalable trust-region method for deep reinforcement learning using kronecker-factored approximation
Y. Wu, E. Mansimov, R. B. Grosse, S. Liao, and J. Ba
Advances in Neural Information Processing Systems (NIPS) 2017
Few-Shot Learning Through an Information Retrieval Lens
E. Triantafillou, R. Zemel, and R. Urtasun
Advances in Neural Information Processing Systems (NIPS) 2017
Stochastic Segmentation Trees for Multiple Ground Truths
J. Snell, and R. Zemel
Conference on Uncertainty in Artificial Intelligence (UAI) 2017
Prototypical Networks for Few-Shot Learning
J. Snell, K. Swersky, and R. Zemel
Advances in Neural Information Processing Systems (NIPS) 2017
Learning to Generate Images with Perceptual Similarity Metrics
J. Snell, K. Ridgeway, R. Liao, B. D. Roads, M. C. Mozer, and R. Zemel
International Conference on Image Processing (ICIP) 2017
The reversible residual network: Backpropagation without storing activations
A. N. Gomez, M. Ren, R. Urtasun, and R. B. Grosse
Advances in Neural Information Processing Systems (NIPS) 2017
Improved Regularization of Convolutional Neural Networks with Cutout
T. DeVries, and G. Taylor
2017
Reinterpreting Importance-Weighted Autoencoders
C. Cremer, Q. Morris, and D. Duvenaud
International Conference on Learning Representations (ICLR) Workshop Track 2017
On the importance of normative data in speech-based assessment
Z. Noorian, C. Pou-Prom, and F. Rudzicz
ML4H, Machine Learning for Health Workshop at NIPS 2017
Detecting anxiety through Reddit
J. Shen, and F. Rudzicz
ACL CLPsych Workshop 2017
On the impact of non-modal phonation on phonological features
M. Cernak, E. Noeth, F. Rudzicz, H. Christensen, J. Orozco-Arroyave, R. Arora, et al.
ICASSP 2017
Multi-view representation learning via GCCA for multimodal analysis of Parkinson’s disease
J. Vasquez, J. Orozco-Arroyave, R. Arora, E. Noeth, N. Dehak, H. Christensen, et al.
ICASSP 2017
Subspace selection to suppress confounding source domain information in AAM transfer learning
A. Asgarian, A. Ashraf, D. Fleet, and B. Taati
International Joint Conference on Biometrics (IJCB) 2017
Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization
V. Veitch, Z. Naulet, E. Sharma, and D. M. Roy
2017
Sticking the landing: Simple, lower-variance gradient estimators for variational inference
G. Roeder, Y. Wu, and D. Duvenaud
Advances in Neural Information Processing Systems (NIPS) 2017
An estimator for the tail-index of graphex processes
Z. Naulet, E. Sharma, V. Veitch, and D. M. Roy
2017
Building Proteins in a Day: Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy
A. Punjani, M. A. Brubaker, and D. J. Fleet
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 2017 39(4):706--718
Rhetorical structure and Alzheimer’s disease
M. Abdalla, F. Rudzicz, and G. Hirst
Aphasiology 2017 32(1):41--60
Characterisation of voice quality of Parkinson’s disease using differential phonological posterior features
M. Cernak, J. Orozco-Arroyave, F. Rudzicz, H. Christensen, and E. N. JC Vasquez-Correa
Computer Speech & Language 2017 46(196--208)
Learning to Act Properly: Predicting and Explaining Affordances from Images
C. Chuang, J. Li, A. Torralba, and S. Fidler
CoRR 2017
MovieGraphs: Towards Understanding Human-Centric Situations from Videos
P. Vicol, M. Tapaswi, L. Castrejόn, and S. Fidler
CoRR 2017
The effect of photoperiod on the mood of Reddit users
K. Ethayarajk, and F. Rudzicz
Cyberpsychology, Behavior, and Social Networking 2017 20(4)(238-245)
A novel approach for acoustic estimation of neck fluid volume between men and women
M. Shokrollahi, F. Rudzicz, D. Vena, D. Bradley, and A. Yadollahi
Medical & Biological Engineering & Computing 2017 56(1):113--123
cryoSPARC: Algorithms for rapid unsupervised cryo-EM structure determination
A. Punjani, J. Rubinstein, D. Fleet, and M. Brubaker
Nature Methods 2017 14(3):290-296
Tighter variational bounds are not necessarily better
Tom Rainforth and Adam R Kosiorek and Tuan Anh Le and Chris J Maddison and Maximilian Igl and Frank Wood and Yee Whye Teh
2017
Combining word prediction and r-ary Huffman coding for text entry
S. Kim, and F. Rudzicz
Interspeech SLPAT Workshop 2016
CloudCAST – Remote speech technology for speech professionals
P. Green, R. Marxwe, S. Cunningham, H. Christensen, F. Rudzicz, M. Yancheva, et al.
Interspeech 2016
Speech recognition in Alzheimer’s disease and in its assessment
L. Zhou, K. Fraser, and F. Rudzicz
Interspeech 2016
Vector-space topic models for detecting Alzheimer’s disease
M. Yancheva, and F. Rudzicz
ACL 2016
Snoring sound detection from respiratory signal
M. Shokrollahi, S. Saha, P. Mohammadabadi, F. Rudzicz, and A. Yadollahi
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2016
Detecting late-life depression in Alzheimer’s disease through analysis of speech and language
K. Fraser, F. Rudzicz, and G. Hirst
CLPsych 2016
Identifying and avoiding confusion in dialogue with people with Alzheimer’s disease
H. Chinaei, A. Danks, T. Mehta, L. Chan-Currie, H. Lin, and F. Rudzicz
Computational Linguistics 2016 43(2)(377-406)
Principal differential analysis for detection of bilabial closure gestures from articulatory data
F. Sattar, and F. Rudzicz
Computer Speech & Language 2016 36(294-306)
The mean shift algorithm and its relation to kernel regression
Y. Ghassabeh, and F. Rudzicz
Information Sciences 2016 348(198-208)
Random item generation is affected by age
N. Multani, F. Rudzicz, W. Wong, A. Namasvayam, and P. V. Lieshout
Journal of Speech, Language, and Hearing Research 2016 59(1172-1178)
Prosody and semantics are separate but not separable channels in the perception of emotional speech: Test of Rating of Emotions in Speech (T-RES)
B. Ben-David, N. Multani, V. Shakuf, F. Rudzicz, and P. V. Lieshout
Journal of Speech, Language, and Hearing Research 2016 59(72-80)
Fast adaptive algorithms for optimal feature extraction from Gaussian data
Y. Ghassabeh, F. Rudzicz, and H. Moghaddam
Pattern Recognition Letters 2016 70(73-79)
Acoustic-articulatory relationships and inversion in sum-product and deep-belief networks
F. Rudzicz, A. Frydenlund, S. Robertson, and P. Thaine
Speech Communication 2016 79(61-73)
Remote speech technology for speech professionals – the CloudCAST initiative
P. Green, R. Marxer, S. Cunningham, H. Christensen, F. Rudzicz, M. Yancheva, et al.
6th workshop on Speech and Language Processing for Assistive Technologies (SLPAT) at Interspeech 2015
Automatic dysfluency detection in dysarthric speech using deep belief networks
S. Oue, R. Marxer, and F. Rudzicz
6th workshop on Speech and Language Processing for Assistive Technologies (SLPAT) at Interspeech 2015
Using linguistic features longitudinally to predict clinical scores for Alzheimer’s disease and related dementias
M Yancheva and K Fraser and F Rudzicz
6th workshop on Speech and Language Processing for Assistive Technologies (SLPAT) at Interspeech 2015
Lateralization in emotional speech perception following transcranial direct current stimulation
A. Francois-Nienaber, J. Meltzer, and F. Rudzicz
Interspeech 2015
Automatic identification of received language in MEG
E. Parisotto, Y. Ghassabeh, M. MacDonald, A. Cozma, E. Pang, and F. Rudzicz
Interspeech 2015
Social media in human-robot-interaction
F. Zeller, D. H. Smith, J. Duong, M. Alanna, E. Bagheri, and F. Rudzicz
Proceedings of the 2015 International Conference on Social Media & Society 2015
Emotional affect estimation using video and EEG data in deep neural networks
A. Frydenlund, and F. Rudzicz
Proceedings of Canadian AI 2015
EEG dimensionality reduction in automatic identification of synonymy
E. Parisotto, Y. Ghassabeh, S. Freydoonnejad, and F. Rudzicz
ICASSP 2015
Classifying phonological categories in imagined and articulated speech
S. Zhao, and F. Rudzicz
ICASSP 2015
Speech interaction with personal assistive robots supporting aging-at-home for individuals with Alzheimer’s disease
F. Rudzicz, R. Wang, M. Begum, and A. Mihailidis
ACM Transactions on Accessible Computing 2015 7(2)
Manifold learning for embedding multivariate variable-length sequences with an application to similarity search
S. Ho, P. Dai, and F. Rudzicz
IEEE Transactions on Neural Networks and Learning Systems 2015 27(6):1333-1344
An incremental algorithm for finding principal curves
Y. Ghassabeh, and F. Rudzicz
IET Signal Processing 2015 9(7):521-528
Treatment intensity and childhood apraxia of speech
A. Namasivayam, M. Pukonen, D. Goshulak, J. Hard, F. Rudzicz, T. Rietveld, et al.
International Journal of Language Communication Disorders 2015 50(4):529-546
Linguistic features differentiate Alzheimer’s from controls in narrative speech
K. Fraser, J. Meltzer, and F. Rudzicz
Journal of Alzheimer's Disease 2015 49(3):407-422
Sequential behavior prediction based on hybrid similarity and cross-user activity transfer
P. Dai, S. Ho, and F. Rudzicz
Knowledge-based systems 2015 77:29-39
Fast incremental LDA feature extraction
Y. Ghassabeh, F. Rudzicz, and H. Moghaddam
Pattern Recognition 2015 48(6):1999-2012
2D Psychoacoustic modeling of equivalent masking for automatic speech recognition
P. Dai, F. Rudzicz, Y. Soon, A. Mihailidis, and H. Ding
Signal Processing 2015 115:9-19
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
D. Madras, E. Creager, T. Pitassi, and R. Zemel
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