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Thomas Paine
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2020 – today
- 2024
- [c10]Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Thomas Paine, Yutian Chen, Misha Denil:
π2vec: Policy Representation with Successor Features. ICLR 2024 - 2022
- [c9]Samson Abramsky
, Tomas Jakl
Discrete Density Comonads and Graph Parameters. CMCS 2022: 23-44 - [i5]Samson Abramsky, Tomas Jakl, Thomas Paine:
Discrete density comonads and graph parameters. CoRR abs/2205.06589 (2022) - 2021
- [c8]Michael R. Zhang, Thomas Paine, Ofir Nachum, Cosmin Paduraru, George Tucker, Ziyu Wang, Mohammad Norouzi:
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization. ICLR 2021 - [c7]Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas:
Active Offline Policy Selection. NeurIPS 2021: 24631-24644 - [i4]Çaglar Gülçehre, Sergio Gómez Colmenarejo, Ziyu Wang, Jakub Sygnowski, Thomas Paine, Konrad Zolna, Yutian Chen, Matthew W. Hoffman, Razvan Pascanu, Nando de Freitas:
Regularized Behavior Value Estimation. CoRR abs/2103.09575 (2021) - [i3]Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas:
Active Offline Policy Selection. CoRR abs/2106.10251 (2021) - 2020
- [c6]Albert Gu, Çaglar Gülçehre, Thomas Paine, Matt Hoffman, Razvan Pascanu:
Improving the Gating Mechanism of Recurrent Neural Networks. ICML 2020: 3800-3809 - [c5]Thomas Paine:
A Pebbling Comonad for Finite Rank and Variable Logic, and an Application to the Equirank-variable Homomorphism Preservation Theorem. MFPS 2020: 191-209 - [c4]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:
RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning. NeurIPS 2020
2010 – 2019
- 2019
- [c3]Brendan Shillingford, Yannis M. Assael
Large-Scale Visual Speech Recognition. INTERSPEECH 2019: 4135-4139 - 2018
- [c2]Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas:
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. ICLR (Poster) 2018 - [i2]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:
Large-Scale Visual Speech Recognition. CoRR abs/1807.05162 (2018) - 2017
- [i1]Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo Jimenez Rezende, Oriol Vinyals, Nando de Freitas:
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. CoRR abs/1710.10304 (2017) - 2014
- [j1]Thomas S. Huang, Vuong Le
Visual Media: History and Perspectives. IEEE Multim. 21(2): 4-10 (2014) - [c1]Thomas Paine, Hailin Jin, Jianchao Yang, Zhe Lin, Thomas S. Huang:
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training. ICLR (Workshop Poster) 2014
Coauthor Index
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