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William 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 - [i21]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) - [i20]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) - [i19]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) - [i18]Isaac Reid, Kumar Avinava Dubey, Deepali Jain, Will Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Choromanski:
Linear Transformer Topological Masking with Graph Random Features. CoRR abs/2410.03462 (2024) - [i17]Ivan Grega, William F. Whitney, Vikram S. Deshpande:
Neural rendering enables dynamic tomography. CoRR abs/2410.20558 (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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last updated on 2024-12-01 00:18 CET by the dblp team
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