| Towards accurate generative models of video: A new metric & challenges T Unterthiner, S Van Steenkiste, K Kurach, R Marinier, M Michalski, ... arXiv preprint arXiv:1812.01717, 2018 | 408 | 2018 |
| Audiolm: a language modeling approach to audio generation Z Borsos, R Marinier, D Vincent, E Kharitonov, O Pietquin, M Sharifi, ... IEEE/ACM transactions on audio, speech, and language processing 31, 2523-2533, 2023 | 347 | 2023 |
| Episodic curiosity through reachability N Savinov, A Raichuk, R Marinier, D Vincent, M Pollefeys, T Lillicrap, ... arXiv preprint arXiv:1810.02274, 2018 | 326 | 2018 |
| What matters in on-policy reinforcement learning? a large-scale empirical study M Andrychowicz, A Raichuk, P Stańczyk, M Orsini, S Girgin, R Marinier, ... arXiv preprint arXiv:2006.05990, 2020 | 210 | 2020 |
| What matters for on-policy deep actor-critic methods? a large-scale study M Andrychowicz, A Raichuk, P Stańczyk, M Orsini, S Girgin, R Marinier, ... International conference on learning representations, 2021 | 163 | 2021 |
| Seed rl: Scalable and efficient deep-rl with accelerated central inference L Espeholt, R Marinier, P Stanczyk, K Wang, M Michalski arXiv preprint arXiv:1910.06591, 2019 | 136 | 2019 |
| Speak, read and prompt: High-fidelity text-to-speech with minimal supervision E Kharitonov, D Vincent, Z Borsos, R Marinier, S Girgin, O Pietquin, ... Transactions of the Association for Computational Linguistics 11, 1703-1718, 2023 | 104 | 2023 |
| FVD: A new metric for video generation T Unterthiner, S van Steenkiste, K Kurach, R Marinier, M Michalski, ... | 80 | 2019 |
| Implicit factoring with shared most significant and middle bits JC Faugère, R Marinier, G Renault Public Key Cryptography–PKC 2010: 13th International Conference on Practice …, 2010 | 37 | 2010 |
| Self-attentional credit assignment for transfer in reinforcement learning J Ferret, R Marinier, M Geist, O Pietquin arXiv preprint arXiv:1907.08027, 2019 | 32 | 2019 |
| What matters in on-policy reinforcement learning M Andrychowicz, A Raichuk, P Stanczyk, M Orsini, S Girgin, R Marinier, ... A large-scale empirical study. CoRR, abs/2006.05990 3, 2020 | 30 | 2020 |
| Solving N-player dynamic routing games with congestion: a mean field approach T Cabannes, M Lauriere, J Perolat, R Marinier, S Girgin, S Perrin, ... arXiv preprint arXiv:2110.11943, 2021 | 21 | 2021 |
| Learning equilibria in mean-field games: Introducing mean-field PSRO P Muller, M Rowland, R Elie, G Piliouras, J Perolat, M Lauriere, R Marinier, ... arXiv preprint arXiv:2111.08350, 2021 | 18 | 2021 |
| Hyperparameter selection for imitation learning L Hussenot, M Andrychowicz, D Vincent, R Dadashi, A Raichuk, S Ramos, ... International Conference on Machine Learning, 4511-4522, 2021 | 17 | 2021 |
| Rlds: an ecosystem to generate, share and use datasets in reinforcement learning S Ramos, S Girgin, L Hussenot, D Vincent, H Yakubovich, D Toyama, ... arXiv preprint arXiv:2111.02767, 2021 | 12 | 2021 |
| Credit assignment as a proxy for transfer in reinforcement learning J Ferret, R Marinier, M Geist, O Pietquin arXiv preprint arXiv:1907.08027, 2019 | 6 | 2019 |
| Methods, systems, and media for presenting content organized by category A Pak, F Raimundo, S Girgin, R Marinier, V Simonet US Patent 11,036,743, 2021 | 4 | 2021 |
| Cryptanalysis of the Improved Cellular Message Encryption Algorithm T Chardin, R Marinier Cryptology ePrint Archive, 2008 | 2 | 2008 |
| Self-Attentive Credit Assignment for Transfer in Reinforcement Learning J Ferret, R Marinier, M Geist, O Pietquin | 1 | 2020 |
| An Adaptive Chosen-plaintext Attack of the Improved Cellular Message Encryption Algorithm. T Chardin, R Marinier Int. J. Netw. Secur. 9 (2), 173-179, 2009 | 1 | 2009 |
Marcin MichalskiGoogle在 google.com 的电子邮件经过验证
