William F. Whitney

According to our database, William F. Whitney authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Linear Transformer Topological Masking with Graph Random Features.

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

CoRR, 2024

Modeling the Real World with High-Density Visual Particle Dynamics.

William F. Whitney, Jacob Varley, Deepali Jain, Krzysztof Choromanski, Sumeet Singh, Vikas Sindhwani

CoRR, 2024

Learning rigid-body simulators over implicit shapes for large-scale scenes and vision.

Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly L. Stachenfeld, Tobias Pfaff

CoRR, 2024

Scaling Face Interaction Graph Networks to Real World Scenes.

Tatiana Lopez-Guevara, Yulia Rubanova, William F. Whitney, Tobias Pfaff, Kimberly L. Stachenfeld, Kelsey R. Allen

CoRR, 2024

Learning 3D Particle-based Simulators from RGB-D Videos.

William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kim Stachenfeld, Kelsey R. Allen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning.

Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier, Arunkumar Byravan, Jingwei Zhang, William F. Whitney, Martin A. Riedmiller

CoRR, 2023

Learning rigid dynamics with face interaction graph networks.

Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

The Challenges of Exploration for Offline Reinforcement Learning.

Nathan Lambert, Markus Wulfmeier, William F. Whitney, Arunkumar Byravan, Michael Bloesch, Vibhavari Dasagi, Tim Hertweck, Martin A. Riedmiller

CoRR, 2022

2021

Techniques for Sample-Efficient Reinforcement Learning.

William F. Whitney

PhD thesis, 2021

Quantile Filtered Imitation Learning.

David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna

CoRR, 2021

Rethinking Exploration for Sample-Efficient Policy Learning.

William F. Whitney, Michael Bloesch, Jost Tobias Springenberg, Abbas Abdolmaleki, Martin A. Riedmiller

CoRR, 2021

Offline RL Without Off-Policy Evaluation.

David Brandfonbrener, Will Whitney, Rajesh Ranganath, Joan Bruna

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Offline Contextual Bandits with Overparameterized Models.

David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Evaluating representations by the complexity of learning low-loss predictors.

William F. Whitney, Min Jae Song, David Brandfonbrener, Jaan Altosaar, Kyunghyun Cho

CoRR, 2020

Overfitting and Optimization in Offline Policy Learning.

David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna

CoRR, 2020

Dynamics-Aware Embeddings.

William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Disentangling Video with Independent Prediction.

William F. Whitney, Rob Fergus

CoRR, 2019

2017

Model-Based Planning in Discrete Action Spaces.

Mikael Henaff, William F. Whitney, Yann LeCun

CoRR, 2017

Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning.

Vlad Firoiu, William F. Whitney, Joshua B. Tenenbaum

CoRR, 2017

2016

Understanding Visual Concepts with Continuation Learning.

William F. Whitney, Michael Chang, Tejas D. Kulkarni, Joshua B. Tenenbaum

CoRR, 2016

Disentangled Representations in Neural Models.

William Whitney

CoRR, 2016

2015

Deep Convolutional Inverse Graphics Network.

Tejas D. Kulkarni, William F. Whitney, Pushmeet Kohli, Joshua B. Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015