William F. Whitney

25 papers A* 4Misc 1Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Linear Transformer Topological Masking with Graph Random Features. ICLR Isaac Reid, Kumar Avinava Dubey, Deepali Jain, William F. Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Marcin Choromanski
2025	J	`jnl`	Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement. CoRR Michael Bloesch, Markus Wulfmeier, Philemon Brakel, Todor Davchev, Martina Zambelli, Jost Tobias Springenberg, Abbas Abdolmaleki, William F. Whitney, Nicolas Heess, Roland Hafner, Martin A. Riedmiller
2024	A*	`conf`	Learning 3D Particle-based Simulators from RGB-D Videos. ICLR William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kim Stachenfeld, Kelsey R. Allen
2024	J	`jnl`	Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. CoRR Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly L. Stachenfeld, Tobias Pfaff
2024	Misc	`conf`	Modeling the Real World with High-Density Visual Particle Dynamics. CoRL William F. Whitney, Jake Varley, Deepali Jain, Krzysztof Marcin Choromanski, Sumeet Singh, Vikas Sindhwani
2024	J	`jnl`	Modeling the Real World with High-Density Visual Particle Dynamics. CoRR William F. Whitney, Jacob Varley, Deepali Jain, Krzysztof Choromanski, Sumeet Singh, Vikas Sindhwani
2024	J	`jnl`	Neural rendering enables dynamic tomography. CoRR Ivan Grega, William F. Whitney, Vikram S. Deshpande
2024	J	`jnl`	Scaling Face Interaction Graph Networks to Real World Scenes. CoRR Tatiana Lopez-Guevara, Yulia Rubanova, William F. Whitney, Tobias Pfaff, Kimberly L. Stachenfeld, Kelsey R. Allen
2023	J	`jnl`	Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning. CoRR Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier, Arunkumar Byravan, Jingwei Zhang, William F. Whitney, Martin A. Riedmiller
2023	J	`jnl`	Learning 3D Particle-based Simulators from RGB-D Videos. CoRR William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly L. Stachenfeld, Kelsey R. Allen
2022	J	`jnl`	The Challenges of Exploration for Offline Reinforcement Learning. CoRR Nathan Lambert, Markus Wulfmeier, William F. Whitney, Arunkumar Byravan, Michael Bloesch, Vibhavari Dasagi, Tim Hertweck, Martin A. Riedmiller
2021	A*	`conf`	Offline Contextual Bandits with Overparameterized Models. ICML David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna
2021	J	`jnl`	Offline RL Without Off-Policy Evaluation. CoRR David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna
2021	J	`jnl`	Quantile Filtered Imitation Learning. CoRR David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna
2021	J	`jnl`	Rethinking Exploration for Sample-Efficient Policy Learning. CoRR William F. Whitney, Michael Bloesch, Jost Tobias Springenberg, Abbas Abdolmaleki, Martin A. Riedmiller
2021	—	`—`	Techniques for Sample-Efficient Reinforcement Learning. William F. Whitney
2020	A*	`conf`	Dynamics-Aware Embeddings. ICLR William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta
2020	J	`jnl`	Evaluating representations by the complexity of learning low-loss predictors. CoRR William F. Whitney, Min Jae Song, David Brandfonbrener, Jaan Altosaar, Kyunghyun Cho
2020	J	`jnl`	Overfitting and Optimization in Offline Policy Learning. CoRR David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna
2019	J	`jnl`	Disentangling Video with Independent Prediction. CoRR William F. Whitney, Rob Fergus
2019	J	`jnl`	Dynamics-aware Embeddings. CoRR William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta
2017	J	`jnl`	Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning. CoRR Vlad Firoiu, William F. Whitney, Joshua B. Tenenbaum
2017	J	`jnl`	Model-Based Planning in Discrete Action Spaces. CoRR Mikael Henaff, William F. Whitney, Yann LeCun
2016	J	`jnl`	Understanding Visual Concepts with Continuation Learning. CoRR William F. Whitney, Michael Chang, Tejas D. Kulkarni, Joshua B. Tenenbaum
2015	—	`conf`	Deep Convolutional Inverse Graphics Network. NIPS Tejas D. Kulkarni, William F. Whitney, Pushmeet Kohli, Joshua B. Tenenbaum