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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

2026

Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors

Yiwei Lu and Matthew YR Yang and Gautam Kamath and Yaoliang Yu

2026

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

2026

Copula-based deep survival models for dependent censoring

Ali Hossein Foomani Gharari, Michael Cooper, Russell Greiner, Rahul G Krishnan

2026

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

2026

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

2025

Robustness implies privacy in statistical estimation

Samuel B Hopkins and Gautam Kamath and Mahbod Majid and Shyam Narayanan

2025

Automated screening of computed tomography using weakly supervised anomaly detection

Atsuhiro Hibi, Michael D Cusimano, Alexander Bilbily, Rahul G Krishnan, Pascal N Tyrrell

2025

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

2025

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

2025

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

2025

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

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

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

2024

Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies

Shlomi Weitzman and Sivan Sabato

2024

Clever hans or neural theory of mind? stress testing social reasoning in large language models

Natalie Shapira and Mosh Levy and Seyed Hossein Alavi and Xuhui Zhou and Yejin Choi and Yoav Goldberg and Maarten Sap and Vered Shwartz

2024

GD-COMET: A Geo-Diverse Commonsense Inference Model

Mehar Bhatia and Vered Shwartz

2024

Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces

Sepehr Asgarian and Ze Wang and Feng Wan and Chi Man Wong and Feng Liu and Yalda Mohsenzadeh and Boyu Wang and Charles X Ling

2024

Predicting memorability of face photographs with deep neural networks

Mohammad Younesi and Yalda Mohsenzadeh

2024

f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning

Yiwei Lu and Guojun Zhang and Sun Sun and Hongyu Guo and Yaoliang Yu

2024

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers

Yiwei Lu and Yaoliang Yu and Xinlin Li and Vahid Partovi Nia

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

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

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

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

2023

Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks

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

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

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

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

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

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

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

Yangchen Pan and Jincheng Mei and Amir-massoud Farahmand and Martha White and Hengshuai Yao and Mohsen Rohani and Jun Luo

2022

Machine learning using modular solution datasets

Ajay Uday Mandlekar and Fabio Tozeto Ramos and Byron Boots and GARG Animesh and Dieter Fox

2022

Online task inference for compositional tasks with context adaptation

GARG Animesh and Hongyu Ren and Yuke Zhu and Anima Anandkumar

2022

Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings

Matthew Shunshi Zhang and Murat Erdogdu and Animesh Garg

2022

Attribute-aware image generation using neural networks

Weili Nie and Tero Tapani Karras and Animesh Garg and Shoubhik Debnath and Anjul Patney and Anima Anandkumar

2022

A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning

Melissa D McCradden and James A Anderson and Elizabeth A. Stephenson and Erik Drysdale and Lauren Erdman and Anna Goldenberg and Randi Zlotnik Shaul

2022

Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study

Soren Sabet Sarvestany and Jeffrey C Kwong and Amirhossein Azhie and Victor Dong and Orlando Cerocchi and Ahmed Fuad Ali and Ravikiran S Karnam and Hadi Kuriry and Mohamed Shengir and Elisa Candido and Raquel Duchen and Giada Sebastiani and Keyur Patel and Anna Goldenberg and Mamatha Bhat

2022

Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

Huayun Hou and Cadia Chan and Kyoko E Yuki and Dustin Sokolowski and Anna Roy and Rihao Qu and Liis Uuskula-Reimand and Mariela Faykoo-Martinez and Matt Hudson and Christina Corre and Anna Goldenberg and Zhaolei Zhang and Mark R Palmert and Michael D Wilson

2022

Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum

SM Goodday and E Karlin and A Brooks and C Chapman and DR Karlin and L Foschini and E Kipping and M Wildman and M Francis and H Greenman and Li Li and E Schadt and M Ghassemi and A Goldenberg and F Cormack and N Taptiklis and C Centen and S Smith and S Friend

2022

Assessment of Machine Learning–Based Medical Directives to Expedite Care in Pediatric Emergency Medicine

Devin Singh and Sujay Nagaraj and Pouria Mashouri and Erik Drysdale and Jason Fischer and Anna Goldenberg and Michael Brudno

2022

Cascaded diffusion models for high fidelity image generation

Jonathan Ho and Chitwan Saharia and William Chan and David James Fleet and Mohammad Norouzi and Tim Salimans

2022

What makes RAFT better than PWC-Net?

Deqing Sun and Charles Herrmann and Fitsum Reda and Michael Rubinstein and David J Fleet and William T Freeman

2022

Kubric: A scalable dataset generator

Klaus Greff and Francois Belletti and Lucas Beyer and Carl Doersch and Yilun Du and Daniel Duckworth and David J Fleet and Dan Gnanapragasam and Florian Golemo and Charles Herrmann and Thomas Kipf and Abhijit Kundu and Dmitry Lagun and Issam Laradji and Henning Meyer and Yishu Miao and Derek Nowrouzezahrai and Cengiz Oztireli and Etienne Pot and Noha Radwan and Daniel Rebain and Sara Sabour and Mehdi SM Sajjadi and Matan Sela and Vincent Sitzmann and Austin Stone and Deqing Sun and Suhani Vora and Ziyu Wang and Tianhao Wu and Kwang Moo Yi and Fangcheng Zhong and Andrea Tagliasacchi

2022

Predicting Fine-Tuning Performance with Probing

Zining Zhu and Soroosh Shahtalebi and Frank Rudzicz

2022

Biological underpinnings for lifelong learning machines

Dhireesha Kudithipudi and Mario Aguilar-Simon and Jonathan Babb and Maxim Bazhenov and Douglas Blackiston and Josh Bongard and Andrew P Brna and Suraj Chakravarthi Raja and Nick Cheney and Jeff Clune and Anurag Daram and Stefano Fusi and Peter Helfer and Leslie Kay and Nicholas Ketz and Zsolt Kira and Soheil Kolouri and Jeffrey L Krichmar and Sam Kriegman and Michael Levin and Sandeep Madireddy and Santosh Manicka and Ali Marjaninejad and Bruce McNaughton and Risto Miikkulainen and Zaneta Navratilova and Tej Pandit and Alice Parker and Praveen K Pilly and Sebastian Risi and Terrence J Sejnowski and Andrea Soltoggio and Nicholas Soures and Andreas S Tolias and Darío Urbina-Meléndez and Francisco J Valero-Cuevas and Gido M van de Ven and Joshua T Vogelstein and Felix Wang and Ron Weiss and Angel Yanguas-Gil and Xinyun Zou and Hava Siegelmann

2022

Visualizing privacy-utility trade-offs in differentially private data releases

Priyanka Nanayakkara and Johes Bater and Xi He and Jessica Hullman and Jennie Rogers

2022

Autoregressive neural network for simulating open quantum systems via a probabilistic formulation

Di Luo and Zhuo Chen and Juan Carrasquilla and Bryan K Clark

2022

Optimal control of quantum thermal machines using machine learning

Ilia Khait and Juan Carrasquilla and Dvira Segal

2022

Neural Error Mitigation of Near-Term Quantum Simulations

Florian Hopfmueller and Elizabeth Bennewitz and Bohdan Kulchytskyy and Juan Carrasquilla and Pooya Ronagh

2022

Detecting topological order using recurrent neural network wave functions

Mohamed Hibat-Allah and Roger Melko and Juan Carrasquilla

2022

Machine-learning Augmented Shadow Tomography (Part I)

Peter Cha and Tim Skaras and Robert Huang and Juan Carrasquilla and Peter McMahon and Eun-Ah Kim

2022

Machine Learning Augmented Shadow Tomography (Part II)

Timothy Skaras and Peter Cha and Robert Huang and Juan Carrasquilla and Peter McMahon and Eun-Ah Kim

2022

A comparison of approaches to improve worst-case predictive model performance over patient subpopulations

Stephen R Pfohl and Haoran Zhang and Yizhe Xu and Agata Foryciarz and Marzyeh Ghassemi and Nigam H Shah

2022

In medicine, how do we machine learn anything real?

Marzyeh Ghassemi and Elaine Okanyene Nsoesie

2022

Outcomes in patients with and without disability admitted to hospital with COVID-19: a retrospective cohort study

Hilary K Brown and Sudipta Saha and Timothy CY Chan and Angela M Cheung and Michael Fralick and Marzyeh Ghassemi and Margaret Herridge and Janice Kwan and Shail Rawal and Laura Rosella and Terence Tang and Adina Weinerman and Yona Lunsky and Fahad Razak and Amol A Verma

2022

Automatic localization and brand detection of cervical spine hardware on radiographs using weakly supervised machine learning

Raman Dutt and Dylan Mendonca and Huai Ming Phen and Samuel Broida and Marzyeh Ghassemi and Judy Gichoya and Imon Banerjee and Tim Yoon and Hari Trivedi

2022

Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum

SM Goodday and E Karlin and A Brooks and C Chapman and DR Karlin and L Foschini and E Kipping and M Wildman and M Francis and H Greenman and Li Li and E Schadt and M Ghassemi and A Goldenberg and F Cormack and N Taptiklis and C Centen and S Smith and S Friend

2022

CanDIG: Federated network across Canada for multi-omic and health data discovery and analysis

Matthew Osmond and Taila Hartley and David A Dyment and Kristin D Kernohan and Michael Brudno and Orion J Buske and A Micheil Innes and Kym M Boycott and Kym Boycott and Francois Bernier and Clara van Karnebeek and David Dyment and Kristin Kernohan and Micheil Innes and Ryan Lamont and Jillian Parboosingh and Deborah Marshall and Christian Marshall and Roberto Mendoza and James Dowling and Robin Hayeems and Bartha Knoppers and Anna Lehman and Sara Mostafavi

2022

Safety and efficacy of preventative COVID vaccines: The StopCoV Study

Sharon Walmsley and Leah Szadkowski and Bradly Wouters and Rosemarie Clarke and Karen Colwill and Paula Rochon and Michael Brudno and Rizani Ravindran and Janet Raboud and Allison McGeer and Amit Oza and Christopher Graham and Amanda Silva and Dorin Manase and Laura Parente and Jacqueline Simpson and Roaya Monica Dayam and Adrian Pasculescu and Anne-Claude Gingras

2022

Assessment of Machine Learning–Based Medical Directives to Expedite Care in Pediatric Emergency Medicine

Devin Singh and Sujay Nagaraj and Pouria Mashouri and Erik Drysdale and Jason Fischer and Anna Goldenberg and Michael Brudno

2022

PhenoPad: Building AI enabled note-taking interfaces for patient encounters

Jixuan Wang and Jingbo Yang and Haochi Zhang and Helen Lu and Marta Skreta and Mia Husić and Aryan Arbabi and Nicole Sultanum and Michael Brudno

2022

Outcome of over 1500 matches through the Matchmaker Exchange for rare disease gene discovery: The 2-year experience of Care4Rare Canada

Matthew Osmond and Taila Hartley and David A Dyment and Kristin D Kernohan and Michael Brudno and Orion J Buske and A Micheil Innes and Kym M Boycott and Kym Boycott and Francois Bernier and Clara van Karnebeek and David Dyment and Kristin Kernohan and Micheil Innes and Ryan Lamont and Jillian Parboosingh and Deborah Marshall and Christian Marshall and Roberto Mendoza and James Dowling and Robin Hayeems and Bartha Knoppers and Anna Lehman and Sara Mostafavi

2022

Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance

Nuri Mert Vural and Lu Yu and Krishnakumar Balasubramanian and Stanislav Volgushev and Murat A Erdogdu

2022

Increasing the Cost of Model Extraction with Calibrated Proof of Work

Adam Dziedzic and Muhammad Ahmad Kaleem and Yu Shen Lu and Nicolas Papernot

2022

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

2022

Optimality and stability in non-convex smooth games

Guojun Zhang and Pascal Poupart and Yaoliang Yu

2022

Linearizing Contextual Bandits with Latent State Dynamics

Elliot Nelson and Debarun Bhattacharjya and Tian Gao and Miao Liu and Djallel Bouneffouf and Pascal Poupart

2022

Learning Functions on Multiple Sets using Multi-Set Transformers

Kira A Selby and Ahmad Rashid and Ivan Kobyzev and Mehdi Rezagholizadeh and Pascal Poupart

2022

Reconstructing complex cancer evolutionary histories from multiple bulk DNA samples using PairtreeReconstructing cancer evolutionary histories using Pairtree

Jeff A Wintersinger and Stephanie M Dobson and Ethan Kulman and Lincoln D Stein and John E Dick and Quaid Morris

2022

Regional Mutational Signature Activities in Cancer Genomes

Caitlin Timmons and Quaid Morris and Caitlin F Harrigan

2022

Three-dimensional object detection

Ming Liang and Bin Yang and Shenlong Wang and Wei-Chiu Ma and Raquel Urtasun

2022

Compression of images having overlapping fields of view using machine-learned models

Jerry Junkai Liu and Shenlong Wang and Raquel Urtasun

2022

Compression of Machine-Learned Models by Vector Quantization

Ting Wei Liu and Julieta Martinez Covarrubias and Jashan Sunil Shewakramani and Raquel Urtasun and Wenyuan Zeng

2022

Systems and Methods for Mitigating Vehicle Pose Error Across an Aggregated Feature Map

Nicholas Baskar Vadivelu and Mengye Ren and Xuanyuan Tu and Raquel Urtasun and Jingkang Wang

2022

Systems and Methods for Sensor Data Packet Processing and Spatial Memory Updating for Robotic Platforms

Sergio Casas and Davi Eugenio Nascimento Frossard and Shun Da Suo and Xuanyuan Tu and Raquel Urtasun

2022

Systems and Methods for Simulating Dynamic Objects Based on Real World Data

Ming Liang and Wei-Chiu Ma and Sivabalan Manivasagam and Raquel Urtasun and Bin Yang and Ze Yang

2022

System and method for identifying travel way features for autonomous vehicle motion control

Raquel Urtasun and Min Bai and Shenlong Wang

2022

Labeling images using a neural network

Daiqing Li and Sanja Fidler

2022

Neural network motion controller

Tingwu Wang and Yun Rong Guo and Maria Shugrina and Sanja Fidler

2022

Generating labels for synthetic images using one or more neural networks

Yuxuan Zhang and Huan Ling and Jun Gao and Wenzheng Chen and Antonio Torralba Barriuso and Sanja Fidler

2022

Object image completion

Sanja Fidler and David Acuna Marrero and Seung Wook Kim and Karsten Julian Kreis and Huan Ling

2022

System and method for generation of an interactive color workspace

Maria Shugrina and Wenjia Zhang and Fanny Chevalier and Sanja Fidler and Karan Singh

2022

Neural network motion controller

Tingwu Wang and Yun Rong Guo and Maria Shugrina and Sanja Fidler

2022

Reward machines: Exploiting reward function structure in reinforcement learning

Rodrigo Toro Icarte and Toryn Q Klassen and Richard Valenzano and Sheila A McIlraith

2022

Efficient multi-agent epistemic planning: Teaching planners about nested belief

Christian Muise and Vaishak Belle and Paolo Felli and Sheila McIlraith and Tim Miller and Adrian R Pearce and Liz Sonenberg

2022

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

2022

Knowledge-based programs as building blocks for planning

Jorge A Baier and Sheila A McIlraith

2022

Conditional Generative Quantile Networks via Optimal Transport

Jesse Sun and Dihong Jiang and Yaoliang Yu

2022

An orbital-based representation for accurate quantum machine learning

Konstantin Karandashev and O Anatole von Lilienfeld

2022

Non-covalent interactions between molecular dimers (S66) in electric fields

Max Schwilk and Pal Mezei and Diana N Tahchieva and Anatole von Lilienfeld

2022

Visualizing privacy-utility trade-offs in differentially private data releases

Priyanka Nanayakkara and Johes Bater and Xi He and Jessica Hullman and Jennie Rogers

2022

The role of adaptive optimizers for honest private hyperparameter selection

Shubhankar Mohapatra and Sajin Sasy and Xi He and Gautam Kamath and Om Thakkar

2022

Cache me if you can: Accuracy-aware inference engine for differentially private data exploration

Miti Mazmudar and Thomas Humphries and Jiaxiang Liu and Matthew Rafuse and Xi He

2022

Don’t be a tattle-tale: preventing leakages through data dependencies on access control protected data

Primal Pappachan and Shufan Zhang and Xi He and Sharad Mehrotra

2022

MIDE: accuracy aware minimally invasive data exploration for decision support

Sameera Ghayyur and Dhrubajyoti Ghosh and Xi He and Sharad Mehrotra

2022

Transitioning from testbeds to ships: an experience study in deploying the TIPPERS Internet of Things platform to the US Navy

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

2022

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

2022

Optimal Representations for Covariate Shift

Yangjun Ruan and Yann Dubois and Chris J Maddison

2022

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

2022

The machine learning for combinatorial optimization competition (ml4co): Results and insights

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

2022

Bayesian nonparametrics for offline skill discovery

Valentin Villecroze and Harry Braviner and Panteha Naderian and Chris Maddison and Gabriel Loaiza-Ganem

2022

Stochastic Reweighted Gradient Descent

Ayoub El Hanchi and David Stephens and Chris Maddison

2022

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Wenhu Chen and Xueguang Ma and Xinyi Wang and William W Cohen

2022

Re-imagen: Retrieval-augmented text-to-image generator

Wenhu Chen and Hexiang Hu and Chitwan Saharia and William W Cohen

2022

Explanations from Large Language Models Make Small Reasoners Better

Shiyang Li and Jianshu Chen and Yelong Shen and Zhiyu Chen and Xinlu Zhang and Zekun Li and Hong Wang and Jing Qian and Baolin Peng and Yi Mao and Wenhu Chen and Xifeng Yan

2022

Large language models are few (1)-shot table reasoners

Wenhu Chen

2022

MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text

Wenhu Chen and Hexiang Hu and Xi Chen and Pat Verga and William W Cohen

2022

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering

Wenhu Chen and Pat Verga and Michiel de Jong and John Wieting and William Cohen

2022

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models

Xichen Pan and Pengda Qin and Yuhong Li and Hui Xue and Wenhu Chen

2022

HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data

Kai Nakamura and Sharon Levy and Yi-Lin Tuan and Wenhu Chen and William Yang Wang

2022

DePlot: One-shot visual language reasoning by plot-to-table translation

Fangyu Liu and Julian Martin Eisenschlos and Francesco Piccinno and Syrine Krichene and Chenxi Pang and Kenton Lee and Mandar Joshi and Wenhu Chen and Nigel Collier and Yasemin Altun

2022

Controllable Dialogue Simulation with In-Context Learning

Zekun Li and Wenhu Chen and Shiyang Li and Hong Wang and Jing Qian and Xifeng Yan

2022

QA Is the New KR: Question-Answer Pairs as Knowledge Bases

Wenhu Chen and William W Cohen and Michiel De Jong and Nitish Gupta and Alessandro Presta and Pat Verga and John Wieting

2022

Using meta-information in neural machine translation

Evgeny Matusov and Wenhu Chen and Shahram Khadivi

2022

Federated learning and differential privacy for medical image analysis

Mohammed Adnan and Shivam Kalra and Jesse C Cresswell and Graham W Taylor and Hamid R Tizhoosh

2022

Bulk arthropod abundance, biomass and diversity estimation using deep learning for computer vision

Stefan Schneider and Graham W Taylor and Stefan C Kremer and Patrick Burgess and Jillian McGroarty and Kyomi Mitsui and Alex Zhuang and Jeremy R deWaard and John M Fryxell

2022

On evaluation metrics for graph generative models

Rylee Thompson and Boris Knyazev and Elahe Ghalebi and Jungtaek Kim and Graham W Taylor

2022

Similarity learning networks for animal individual re-identification: an ecological perspective

Stefan Schneider and Graham W Taylor and Stefan C Kremer

2022

Predicting dreissenid mussel abundance in nearshore waters using underwater imagery and deep learning

Angus Galloway and Dominique Brunet and Reza Valipour and Megan McCusker and Johann Biberhofer and Magdalena K Sobol and Medhat Moussa and Graham W Taylor

2022

The gist and rist of iterative self-training for semi-supervised segmentation

Eu Wern Teh and Terrance DeVries and Brendan Duke and Ruowei Jiang and Parham Aarabi and Graham W Taylor

2022

Learning with Less Labels in Digital Pathology Via Scribble Supervision from Natural Images

Eu Wern The and Graham W Taylor

2022

Getting the Bugs Out: Entomology Using Computer Vision

Stefan Schneider and Graham Taylor and Stefan Kremer and John Fryxell

2022

Bounding generalization error with input compression: An empirical study with infinite-width networks

Angus Galloway and Anna Golubeva and Mahmoud Salem and Mihai Nica and Yani Ioannou and Graham W Taylor

2022

Understanding the impact of image and input resolution on deep digital pathology patch classifiers

Eu Wern Teh and Graham W Taylor

2022

Understanding the impact of image and input resolution on deep digital pathology patch classifiers

Eu Wern Teh and Graham W Taylor

2022

DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software

Chuan-Yung Tsai and Graham W Taylor

2022

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

2022

Whole-genome sequencing reveals host factors underlying critical COVID-19

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

Cell transcriptomic atlas of the non-human primate Macaca fascicularis

Lei Han and Xiaoyu Wei and Chuanyu Liu and Giacomo Volpe and Zhenkun Zhuang and Xuanxuan Zou and Zhifeng Wang and Taotao Pan and Yue Yuan and Xiao Zhang and Peng Fan and Pengcheng Guo and Yiwei Lai and Ying Lei and Xingyuan Liu and Feng Yu and Shuncheng Shangguan and Guangyao Lai and Qiuting Deng and Ya Liu and Liang Wu and Quan Shi and Hao Yu and Yunting Huang and Mengnan Cheng and Jiangshan Xu and Yang Liu and Mingyue Wang and Chunqing Wang and Yuanhang Zhang and Duo Xie and Yunzhi Yang and Yeya Yu and Huiwen Zheng and Yanrong Wei and Fubaoqian Huang and Junjie Lei and Waidong Huang and Zhiyong Zhu and Haorong Lu and Bo Wang and Xiaofeng Wei and Fengzhen Chen and Tao Yang and Wensi Du and Jing Chen and Shibo Xu and Juan An and Carl Ward and Zongren Wang and Zhong Pei and Chi-Wai Wong and Xiaolei Liu and Huafeng Zhang and Mingyuan Liu and Baoming Qin and Axel Schambach and Joan Isern and Liqiang Feng and Yan Liu and Xiangyu Guo and Zhen Liu and Qiang Sun and Patrick H Maxwell and Nick Barker and Pura Muñoz-Cánoves and Ying Gu and Jan Mulder and Mathias Uhlen and Tao Tan and Shiping Liu and Huanming Yang and Jian Wang and Yong Hou and Xun Xu and Miguel A Esteban and Longqi Liu

2022

Artificial intelligence for the echocardiographic assessment of valvular heart disease

Rashmi Nedadur and Bo Wang and Wendy Tsang

2022

Colony stimulating factor-1 producing endothelial cells and mesenchymal stromal cells maintain monocytes within a perivascular bone marrow niche

Takuo Emoto and Jessie Lu and Tharini Sivasubramaniyam and Hassaan Maan and Aniqa B Khan and Amina A Abow and Stephanie A Schroer and Sharon J Hyduk and Marwan G Althagafi and Trevor D McKee and Fred Fu and Shiva Shabro and Antigona Ulndreaj and Felix Chiu and Elvira Paneda and Shaun Pacheco and Tao Wang and Angela Li and Jean X Jiang and Peter Libby and Mansoor Husain and Bo Wang and Barry B Rubin and Myron I Cybulsky and Clinton S Robbins

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

The Inclusion of Biomarker Scoring During Ex-Vivo Lung Perfusion Can Improve Organ Utilization and Patient Outcomes-A Retrospective, Single Center Study

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

Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package

Evgeny Epifanovsky and Andrew TB Gilbert and Xintian Feng and Joonho Lee and Yuezhi Mao and Narbe Mardirossian and Pavel Pokhilko and Alec F White and Marc P Coons and Adrian L Dempwolff and Zhengting Gan and Diptarka Hait and Paul R Horn and Leif D Jacobson and Ilya Kaliman and Jörg Kussmann and Adrian W Lange and Ka Un Lao and Daniel S Levine and Jie Liu and Simon C McKenzie and Adrian F Morrison and Kaushik D Nanda and Felix Plasser and Dirk R Rehn and Marta L Vidal and Zhi-Qiang You and Ying Zhu and Bushra Alam and Benjamin J Albrecht and Abdulrahman Aldossary and Ethan Alguire and Josefine H Andersen and Vishikh Athavale and Dennis Barton and Khadiza Begam and Andrew Behn and Nicole Bellonzi and Yves A Bernard and Eric J Berquist and Hugh GA Burton and Abel Carreras and Kevin Carter-Fenk and Romit Chakraborty and Alan D Chien and Kristina D Closser and Vale Cofer-Shabica and Saswata Dasgupta and Marc De Wergifosse and Jia Deng and Michael Diedenhofen and Hainam Do and Sebastian Ehlert and Po-Tung Fang and Shervin Fatehi and Qingguo Feng and Triet Friedhoff and James Gayvert and Qinghui Ge and Gergely Gidofalvi and Matthew Goldey and Joe Gomes and Cristina E González-Espinoza and Sahil Gulania and Anastasia O Gunina and Magnus WD Hanson-Heine and Phillip HP Harbach and Andreas Hauser and Michael F Herbst and Mario Hernández Vera and Manuel Hodecker and Zachary C Holden and Shannon Houck and Xunkun Huang and Kerwin Hui and Bang C Huynh and Maxim Ivanov and Ádám Jász and Hyunjun Ji and Hanjie Jiang and Benjamin Kaduk and Sven Kähler and Kirill Khistyaev and Jaehoon Kim and Gergely Kis and Phil Klunzinger and Zsuzsanna Koczor-Benda and Joong Hoon Koh and Dimitri Kosenkov and Laura Koulias and Tim Kowalczyk and Caroline M Krauter and Karl Kue and Alexander Kunitsa and Thomas Kus and István Ladjánszki and Arie Landau and Keith V Lawler and Daniel Lefrancois and Susi Lehtola and Run R Li and Yi-Pei Li and Jiashu Liang and Marcus Liebenthal and Hung-Hsuan Lin and You-Sheng Lin and Fenglai Liu and Kuan-Yu Liu and Matthias Loipersberger and Arne Luenser and Aaditya Manjanath and Prashant Manohar and Erum Mansoor and Sam F Manzer and Shan-Ping Mao and Aleksandr V Marenich and Thomas Markovich and Stephen Mason and Simon A Maurer and Peter F McLaughlin and Maximilian FSJ Menger and Jan-Michael Mewes and Stefanie A Mewes and Pierpaolo Morgante and J Wayne Mullinax and Katherine J Oosterbaan and Garrette Paran and Alexander C Paul and Suranjan K Paul and Fabijan Pavošević and Zheng Pei and Stefan Prager and Emil I Proynov and Ádám Rák and Eloy Ramos-Cordoba and Bhaskar Rana and Alan E Rask and Adam Rettig and Ryan M Richard and Fazle Rob and Elliot Rossomme and Tarek Scheele and Maximilian Scheurer and Matthias Schneider and Nickolai Sergueev and Shaama M Sharada and Wojciech Skomorowski and David W Small and Christopher J Stein and Yu-Chuan Su

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

2021

Mutual information-assisted adaptive variational quantum eigensolver

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

Cyrille Lavigne and Alán Aspuru-Guzik

2021

Fast Reverse Intersystem Crossing Over 107 s-1 in Organic Emitters with Inverted Singlet-Triplet Gap via Intramolecular Through Space Charge Transfer

Yafei Wang and Xinrui Chen and Robert Pollice and Bing Li and Yuanyuan Zhu and Anqi Lv and Yuchao Liu and Zhongjie Ren and Huili Ma and Weiguo Zhu and Alán Aspuru-Guzik

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

Improving lossless compression rates via monte carlo bits-back coding

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

Kuan-Chieh Wang and Yan Fu and Ke Li and Ashish Khisti and Richard Zemel and Alireza Makhzani

2021

Few Shot Image Generation via Implicit Autoencoding of Support Sets

Andy Huang and Kuan-Chieh Wang and Guillaume Rabusseau and Alireza Makhzani

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

Daniel Severo and James Townsend and Ashish J Khisti and Alireza Makhzani and Karen Ullrich

2021

PID Accelerated Value Iteration Algorithm

Amir-Massoud Farahmand and Mohammad Ghavamzadeh

2021

Deep Reinforcement Learning for Online Control of Stochastic Partial Differential Equations

Erfan Pirmorad and Faraz Khoshbakhtian and Farnam Mansouri and Amir-massoud Farahmand

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

Anuj Mahajan and Mikayel Samvelyan and Lei Mao and Viktor Makoviychuk and Animesh Garg and Jean Kossaifi and Shimon Whiteson and Yuke Zhu and Animashree Anandkumar

2021

Learning Latent Actions to Control Assistive Robots

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

Michael Lutter and Shie Mannor and Jan Peters and Dieter Fox and Animesh Garg

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

Xinlei Pan and Animesh Garg and Animashree Anandkumar and Yuke Zhu

2021

GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels

Dylan Turpin and Liquan Wang and Stavros Tsogkas and Sven Dickinson and Animesh Garg

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

Michael Poli and Stefano Massaroli and Luca Scimeca and Seong Joon Oh and Sanghyuk Chun and Atsushi Yamashita and Hajime Asama and Jinkyoo Park and Animesh Garg

2021

C-Learning: Horizon-Aware Cumulative Accessibility Estimation

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

Matthew McDermott and Bret Nestor and Evan Kim and Wancong Zhang and Anna Goldenberg and Peter Szolovits 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

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

2021

TriBERT: Human-centric Audio-visual Representation Learning

Tanzila Rahman and Mengyu Yang and Leonid Sigal

2021

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

2021

Markpainting: Adversarial Machine Learning meets Inpainting

David Khachaturov and Ilia Shumailov and Yiren Zhao and Nicolas Papernot and Ross Anderson

2021

Unrolling sgd: Understanding factors influencing machine unlearning

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

2019

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

G. Zhang, J. Martens, and R. GrosseG. Zhang, J. Martens, and R. Grosse

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.

2019

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

Excessive Invariance Causes Adversarial Vulnerability

J. Jacobsen, J. Behrmann, R. Zemel, and M. Bethge

International Conference on Learning Representations 2019

TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer

S. Huang, Q. Li, C. Anil, X. Bao, S. Oore, and R. B. Grosse

International Conference on Learning Representations (ICLR) 2019

Scalable Reversible Generative Models with Free-form Continuous Dynamics

W. Grathwohl, R. T. Q. Chen, J. Bettencourt, and D. Duvenaud

International Conference on Learning Representations 2019

Batch Normalization is a Cause of Adversarial Vulnerability

A. Galloway, A. Golubeva, T. Tanay, M. Moussa, and G. Taylor

International Conference on Machine Learning (ICML) Workshop on Identifying and Understanding Deep Learning Phenomena 2019

Residual Flows for Invertible Generative Modeling

R. T. Chen, J. Behrmann, D. Duvenaud, and J. Jacobsen

Advances in Neural Information Processing Systems (NeurIPS) 2019

Explaining Image Classifiers by Counterfactual Generation

C. Chang, E. Creager, A. Goldenberg, and D. Duvenaud

International Conference on Learning Representations 2019

ACTRCE: Augmenting Experience via Teacher’s Advice For Multi-Goal Reinforcement Learning

H. Chan, Y. Wu, J. Kiros, S. Fidler, and J. Ba

2019

Sorting out Lipschitz function approximation

C. Anil, J. Lucas, and R. Grosse

Proceedings of the 36th International Conference on Machine Learning (ICML) 2019

End-To-End Interpretable Neural Motion Planner

W. Zeng, W. Luo, S. Suo, A. Sadat, B. Yang, S. Casas, et al.

2019

Learning to Localize Through Compressed Binary Maps

X. Wei, I. A. Bârsan, S. Wang, J. Martinez, and R. Urtasun

2019

Differentiable probabilistic models of scientific imaging with the Fourier slice theorem

K. Ullrich, R. Berg, M. Brubaker, D. J. Fleet, and M. Welling

Conference on Uncertainty in Artificial Intelligence (UAI) 2019

Latent ODEs for Irregularly-Sampled Time Series

R. T. Q. Chen, Y. Rubanova, and D. Duvenaud

Advances in Neural Information Processing Systems (NeurIPS) 2019

Analyzing and Improving Representations with the Soft Nearest Neighbor Loss

N. Frosst, N. Papernot, and G. Hinton

2019

Generative Adversarial Networks for text using word2vec intermediaries

A. Budhkar, K. Vishnubhotla, S. Hossain, and F. Rudzicz

the 4th Workshop on Representation Learning for NLP (RepL4NLP at ACL 2019) 2019

How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT’s destruction

K. Fraser, F. Zeller, D. Harris-Smith, S. Mohammad, and F. Rudzicz

The 10th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2019) 2019

Predicting ICU transfers using text messages between nurses and doctors

F. Khattak, C. Pou-Prom, R. Wu, and F. Rudzicz

ClinicalNLP 2019 2019

AutoScribe: Extracting clinically pertinent information from patient-clinician dialogues

F. Khattak, S. Jeblee, N. Crampton, M. Mamdani, and F. Rudzicz

MedInfo 2019

Detecting cognitive impairments by agreeing on interpretations of linguistic features

Z. Zhu, J. Novikova, and F. Rudzicz

NAACL 2019

Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modeling

K. Fraser, N. Linz, B. Li, K. Fors, F. Rudzicz, A. Konig, et al.

NAACL 2019

Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus

B. Li, Y. Hsu, and F. Rudzicz

NAACL 2019

Augmenting word2vec with latent Dirichlet allocation within a clinical application

A. Budhkar, and F. Rudzicz

NAACL 2019

Centroid-based deep metric learning for speaker recognition

J. Wang, K. Wang, M. Law, F. Rudzicz, and M. Brudno

ICASSP 2019

Towards international standards for evaluating machine learning

F. Rudzicz, P. Paprica, and M. Janczarski

SafeAI 2019

Robot Learning by Collaborative Network Training: A Self-Supervised Method Using Ranking

M. Bretan, S. Oore, S. Sanan, and L. Heck

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems 2019

The Lottery Ticket Hypothesis at Scale

J. Frankle, G. K. Dziugaite, D. M. Roy, and M. Carbin

2019

Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT

A. Anastasiou, K. Balasubramanian, and M. A. Erdogdu

2019

Can AI Help Reduce Disparities in General Medical and Mental Health Care?

I. Y. Chen, P. Szolovits, and M. Ghassemi

AMA journal of ethics 2019 21(2):167--179

Sampling and estimation for (sparse) exchangeable graphs

V. Veitch, and D. M. Roy

Ann. Statist. 2019 47(6):3274--3299

Neural Gutzwiller-Projected Variational Wave Functions

F. Ferrari, F. Becca, and J. Carrasquilla

arXiv:1906.00463 [cond-mat] 2019

Wavefunction Positivization via Automatic Differentiation

G. Torlai, J. Carrasquilla, M. T. Fishman, R. G. Melko, and M. P. A. Fisher

arXiv:1906.04654 [cond-mat, physics:quant-ph] 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

Y. Xiong, R. Liao, H. Zhao, R. Hu, M. Bai, E. Yumer, et al.

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

R. Boshra, K. Dhindsa, O. Boursalie, K. I. Ruiter, R. Sonnadara, R. Samavi, et al.

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

2018

ClinicalVis: Supporting Clinical Task-Focused Design Evaluation

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