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2020 – today
- 2024
[c9]Hunter Lightman, Vineet Kosaraju, Yuri Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe:
Let's Verify Step by Step. ICLR 2024- [i10]Jan Hendrik Kirchner, Yining Chen, Harri Edwards, Jan Leike, Nat McAleese, Yuri Burda:
Prover-Verifier Games improve legibility of LLM outputs. CoRR abs/2407.13692 (2024) - 2023
- [i9]Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe:
Let's Verify Step by Step. CoRR abs/2305.20050 (2023) - 2022
- [i8]Alethea Power, Yuri Burda, Harri Edwards, Igor Babuschkin, Vedant Misra:
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets. CoRR abs/2201.02177 (2022) - 2021
- [i7]Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba:
Evaluating Large Language Models Trained on Code. CoRR abs/2107.03374 (2021)
2010 – 2019
- 2019
- [c8]Yuri Burda, Harri Edwards, Deepak Pathak, Amos J. Storkey, Trevor Darrell, Alexei A. Efros:
Large-Scale Study of Curiosity-Driven Learning. ICLR (Poster) 2019 - [c7]Yuri Burda, Harrison Edwards, Amos J. Storkey, Oleg Klimov:
Exploration by random network distillation. ICLR (Poster) 2019 - 2018
- [c6]Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards:
Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs. AAMAS 2018: 1944-1946 - [c5]Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel:
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. ICLR 2018 - [c4]Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards:
Learning Policy Representations in Multiagent Systems. ICML 2018: 1797-1806 - [i6]Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yura Burda, Harrison Edwards:
Learning Policy Representations in Multiagent Systems. CoRR abs/1806.06464 (2018) - [i5]Yuri Burda, Harri Edwards, Deepak Pathak, Amos J. Storkey, Trevor Darrell, Alexei A. Efros:
Large-Scale Study of Curiosity-Driven Learning. CoRR abs/1808.04355 (2018) - [i4]Yuri Burda, Harrison Edwards, Amos J. Storkey, Oleg Klimov:
Exploration by Random Network Distillation. CoRR abs/1810.12894 (2018) - 2017
- [c3]Yuhuai Wu, Yuri Burda, Ruslan Salakhutdinov, Roger B. Grosse:
On the Quantitative Analysis of Decoder-Based Generative Models. ICLR (Poster) 2017 - [i3]Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel:
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. CoRR abs/1710.03641 (2017) - 2016
- [c2]Yuri Burda, Roger B. Grosse, Ruslan Salakhutdinov:
Importance Weighted Autoencoders. ICLR (Poster) 2016 - [i2]Yuhuai Wu, Yuri Burda, Ruslan Salakhutdinov, Roger B. Grosse:
On the Quantitative Analysis of Decoder-Based Generative Models. CoRR abs/1611.04273 (2016) - 2015
- [c1]Yuri Burda, Roger B. Grosse, Ruslan Salakhutdinov:
Accurate and conservative estimates of MRF log-likelihood using reverse annealing. AISTATS 2015 - 2014
- [i1]Yuri Burda, Roger B. Grosse, Ruslan Salakhutdinov:
Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing. CoRR abs/1412.8566 (2014)
Coauthor Index
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