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ORCIDWilliam F. Whitney
Person information
- affiliation: DeepMind, London, UK
- affiliation (PhD 2021): New York University, NY, USA
- affiliation (former): Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- William Whitney 0002 — Lehigh University, Office of Creative Inquiry, Bethlehem, PA, USA
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2020 – today
- 2024
[c6]William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kim Stachenfeld, Kelsey R. Allen:
Learning 3D Particle-based Simulators from RGB-D Videos. ICLR 2024- [i19]Tatiana Lopez-Guevara, Yulia Rubanova, William F. Whitney, Tobias Pfaff, Kimberly L. Stachenfeld, Kelsey R. Allen:
Scaling Face Interaction Graph Networks to Real World Scenes. CoRR abs/2401.11985 (2024) - [i18]Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly L. Stachenfeld, Tobias Pfaff:
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. CoRR abs/2405.14045 (2024) - [i17]William F. Whitney, Jacob Varley, Deepali Jain, Krzysztof Choromanski, Sumeet Singh, Vikas Sindhwani:
Modeling the Real World with High-Density Visual Particle Dynamics. CoRR abs/2406.19800 (2024) - 2023
- [c5]Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff:
Learning rigid dynamics with face interaction graph networks. ICLR 2023 - [i16]Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier, Arunkumar Byravan, Jingwei Zhang, William F. Whitney, Martin A. Riedmiller:
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning. CoRR abs/2309.07578 (2023) - [i15]William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly L. Stachenfeld, Kelsey R. Allen:
Learning 3D Particle-based Simulators from RGB-D Videos. CoRR abs/2312.05359 (2023) - 2022
- [i14]Nathan Lambert, Markus Wulfmeier, William F. Whitney, Arunkumar Byravan, Michael Bloesch, Vibhavari Dasagi, Tim Hertweck, Martin A. Riedmiller:
The Challenges of Exploration for Offline Reinforcement Learning. CoRR abs/2201.11861 (2022) - [i13]Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff:
Learning rigid dynamics with face interaction graph networks. CoRR abs/2212.03574 (2022) - 2021
- [b1]William F. Whitney:
Techniques for Sample-Efficient Reinforcement Learning. New York University, USA, 2021 - [c4]David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna:
Offline Contextual Bandits with Overparameterized Models. ICML 2021: 1049-1058 - [c3]David Brandfonbrener, Will Whitney, Rajesh Ranganath, Joan Bruna:
Offline RL Without Off-Policy Evaluation. NeurIPS 2021: 4933-4946 - [i12]William F. Whitney, Michael Bloesch, Jost Tobias Springenberg, Abbas Abdolmaleki, Martin A. Riedmiller:
Rethinking Exploration for Sample-Efficient Policy Learning. CoRR abs/2101.09458 (2021) - [i11]David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna:
Offline RL Without Off-Policy Evaluation. CoRR abs/2106.08909 (2021) - [i10]David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna:
Quantile Filtered Imitation Learning. CoRR abs/2112.00950 (2021) - 2020
- [c2]William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta:
Dynamics-Aware Embeddings. ICLR 2020 - [i9]David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna:
Overfitting and Optimization in Offline Policy Learning. CoRR abs/2006.15368 (2020) - [i8]William F. Whitney, Min Jae Song, David Brandfonbrener, Jaan Altosaar, Kyunghyun Cho:
Evaluating representations by the complexity of learning low-loss predictors. CoRR abs/2009.07368 (2020)
2010 – 2019
- 2019
- [i7]William F. Whitney, Rob Fergus:
Disentangling Video with Independent Prediction. CoRR abs/1901.05590 (2019) - [i6]William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta:
Dynamics-aware Embeddings. CoRR abs/1908.09357 (2019) - 2017
- [i5]Vlad Firoiu, William F. Whitney, Joshua B. Tenenbaum:
Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning. CoRR abs/1702.06230 (2017) - [i4]Mikael Henaff, William F. Whitney, Yann LeCun:
Model-Based Planning in Discrete Action Spaces. CoRR abs/1705.07177 (2017) - 2016
- [i3]William Whitney:
Disentangled Representations in Neural Models. CoRR abs/1602.02383 (2016) - [i2]William F. Whitney, Michael Chang, Tejas D. Kulkarni, Joshua B. Tenenbaum:
Understanding Visual Concepts with Continuation Learning. CoRR abs/1602.06822 (2016) - 2015
- [c1]Tejas D. Kulkarni, William F. Whitney, Pushmeet Kohli, Joshua B. Tenenbaum:
Deep Convolutional Inverse Graphics Network. NIPS 2015: 2539-2547 - [i1]Tejas D. Kulkarni, Will Whitney, Pushmeet Kohli, Joshua B. Tenenbaum:
Deep Convolutional Inverse Graphics Network. CoRR abs/1503.03167 (2015)
Coauthor Index
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