Thomas Paine

According to our database, Thomas Paine authored at least 13 papers between 2014 and 2024.

Collaborative distances:

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

2024

π2vec: Policy Representation with Successor Features.

Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Thomas Paine, Yutian Chen, Misha Denil

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Discrete Density Comonads and Graph Parameters.

Samson Abramsky, Tomas Jakl, Thomas Paine

Proceedings of the Coalgebraic Methods in Computer Science, 2022

2021

Regularized Behavior Value Estimation.

Çaglar Gülçehre, Sergio Gómez Colmenarejo, Ziyu Wang, Jakub Sygnowski, Thomas Paine, Konrad Zolna, Yutian Chen, Matthew W. Hoffman, Razvan Pascanu, Nando de Freitas

CoRR, 2021

Active Offline Policy Selection.

Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas

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

Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization.

Michael R. Zhang, Thomas Paine, Ofir Nachum, Cosmin Paduraru, George Tucker, Ziyu Wang, Mohammad Norouzi

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning.

Çaglar Gülçehre, Ziyu Wang, Alexander Novikov, Thomas Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matthew Hoffman, Nicolas Heess, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Pebbling Comonad for Finite Rank and Variable Logic, and an Application to the Equirank-variable Homomorphism Preservation Theorem.

Thomas Paine

Proceedings of the 36th Conference on the Mathematical Foundations of Programming Semantics, 2020

Improving the Gating Mechanism of Recurrent Neural Networks.

Albert Gu, Çaglar Gülçehre, Thomas Paine, Matt Hoffman, Razvan Pascanu

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Large-Scale Visual Speech Recognition.

Brendan Shillingford, Yannis M. Assael, Matthew W. Hoffman, Thomas Paine, Cían Hughes, Utsav Prabhu, Hank Liao, Hasim Sak, Kanishka Rao, Lorrayne Bennett, Marie Mulville, Misha Denil, Ben Coppin, Ben Laurie, Andrew W. Senior, Nando de Freitas

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018

Large-Scale Visual Speech Recognition.

Brendan Shillingford, Yannis M. Assael, Matthew W. Hoffman, Thomas Paine, Cían Hughes, Utsav Prabhu, Hank Liao, Hasim Sak, Kanishka Rao, Lorrayne Bennett, Marie Mulville, Ben Coppin, Ben Laurie, Andrew W. Senior, Nando de Freitas

CoRR, 2018

Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions.

Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas

Proceedings of the 6th International Conference on Learning Representations, 2018

2014

Visual Media: History and Perspectives.

Thomas S. Huang, Vuong Le, Thomas Paine, Pooya Khorrami, Usman Tariq

IEEE Multim., 2014

GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training.

Thomas Paine, Hailin Jin, Jianchao Yang, Zhe Lin, Thomas S. Huang

Proceedings of the 2nd International Conference on Learning Representations, 2014