William Whitney

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Joshua B. TenenbaumMITVerified email at mit.edu
Tejas KulkarniDeepMind, Massachusetts Institute of TechnologyVerified email at mit.edu
Pushmeet KohliDeepMindVerified email at google.com
David BrandfonbrenerNew York UniversityVerified email at nyu.edu
Rajesh RanganathAssistant Professor, NYUVerified email at cs.princeton.edu
Joan BrunaCourant Institute of Mathematical Sciences, New York UniversityVerified email at cims.nyu.edu
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Mikael HenaffFacebook AI ResearchVerified email at nyu.edu
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Michael BloeschDeepMindVerified email at google.com
Martin RiedmillerDeepMindVerified email at google.com
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Michael B. ChangUC Berkeley, Swiss AI Lab IDSIA, Massachusetts Institute of TechnologyVerified email at berkeley.edu
Abbas AbdolmalekiDeepmindVerified email at google.com
Jost Tobias SpringenbergAlbert-Ludwigs-Universität FreiburgVerified email at informatik.uni-freiburg.de
Min Jae SongPhD Candidate, New York UniversityVerified email at nyu.edu
Jaan Altosaar Li, PhDOne Fact FoundationVerified email at onefact.org
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York UniversityVerified email at cs.nyu.edu

William Whitney

DeepMind

Verified email at deepmind.com - Homepage

Artificial Intelligence Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep convolutional inverse graphics network TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Advances in neural information processing systems 28, 2015	1046	2015
Offline rl without off-policy evaluation D Brandfonbrener, W Whitney, R Ranganath, J Bruna Advances in neural information processing systems 34, 4933-4946, 2021	63	2021
Model-based planning with discrete and continuous actions M Henaff, WF Whitney, Y LeCun arXiv preprint arXiv:1705.07177, 2017	58*	2017
Beating the world's best at Super Smash Bros. with deep reinforcement learning V Firoiu, WF Whitney, JB Tenenbaum arXiv preprint arXiv:1702.06230, 2017	54	2017
Understanding Visual Concepts with Continuation Learning WF Whitney, M Chang, T Kulkarni, JB Tenenbaum arXiv preprint arXiv:1502.04623, 2016	47	2016
Dynamics-aware embeddings W Whitney, R Agarwal, K Cho, A Gupta arXiv preprint arXiv:1908.09357, 2019	40	2019
Advances in Neural Information Processing Systems TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Neural Information Processing Systems Foundation, 3675-3683, 2016	19	2016
Evaluating representations by the complexity of learning low-loss predictors WF Whitney, MJ Song, D Brandfonbrener, J Altosaar, K Cho arXiv preprint arXiv:2009.07368, 2020	17	2020
Disentangled Representations in Neural Models WF Whitney http://arxiv.org/abs/1602.02383, 2016	17	2016
The challenges of exploration for offline reinforcement learning N Lambert, M Wulfmeier, W Whitney, A Byravan, M Bloesch, V Dasagi, ... arXiv preprint arXiv:2201.11861, 2022	13	2022
Decoupled exploration and exploitation policies for sample-efficient reinforcement learning WF Whitney, M Bloesch, JT Springenberg, A Abdolmaleki, K Cho, ... arXiv preprint arXiv:2101.09458, 2021	12*	2021
Offline contextual bandits with overparameterized models D Brandfonbrener, W Whitney, R Ranganath, J Bruna International Conference on Machine Learning, 1049-1058, 2021	10*	2021
Quantile filtered imitation learning D Brandfonbrener, WF Whitney, R Ranganath, J Bruna arXiv preprint arXiv:2112.00950, 2021	3	2021
Learning rigid dynamics with face interaction graph networks KR Allen, Y Rubanova, T Lopez-Guevara, W Whitney, ... arXiv preprint arXiv:2212.03574, 2022	1	2022
Disentangling Video with Independent Prediction WF Whitney, R Fergus arXiv preprint arXiv:1901.05590, 2019	1	2019
Understanding the asymptotic performance of model-based rl methods W Whitney, R Fergus	1	2018
Techniques for Sample-Efficient Reinforcement Learning WF Whitney New York University, 2021		2021
Learning Effect-Dependent Embeddings for Temporal Abstraction WF Whitney, A Gupta

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