| In-context reinforcement learning with algorithm distillation M Laskin, L Wang, J Oh, E Parisotto, S Spencer, R Steigerwald, ... arXiv preprint arXiv:2210.14215, 2022 | 128 | 2022 |
| Unbiasedness of some generalized adaptive multilevel splitting algorithms CE Bréhier, M Gazeau, L Goudenège, T Lelièvre, M Rousset | 75 | 2016 |
| A general system of differential equations to model first-order adaptive algorithms AB Da Silva, M Gazeau Journal of Machine Learning Research 21 (129), 1-42, 2020 | 47 | 2020 |
| A* net: A scalable path-based reasoning approach for knowledge graphs Z Zhu, X Yuan, M Galkin, LP Xhonneux, M Zhang, M Gazeau, J Tang Advances in Neural Information Processing Systems 36, 59323-59336, 2023 | 37 | 2023 |
| Interplay between optimization and generalization of stochastic gradient descent with covariance noise Y Wen, K Luk, M Gazeau, G Zhang, H Chan, J Ba arXiv preprint arXiv:1902.08234, 312, 2019 | 27 | 2019 |
| Vision-language models as a source of rewards K Baumli, S Baveja, F Behbahani, H Chan, G Comanici, S Flennerhag, ... arXiv preprint arXiv:2312.09187, 2023 | 25 | 2023 |
| A diffusion approximation theorem for a nonlinear PDE with application to random birefringent optical fibers A De Bouard, M Gazeau | 25 | 2012 |
| An empirical study of large-batch stochastic gradient descent with structured covariance noise Y Wen, K Luk, M Gazeau, G Zhang, H Chan, J Ba arXiv preprint arXiv:1902.08234, 2019 | 18 | 2019 |
| Probability and pathwise order of convergence of a semidiscrete scheme for the stochastic Manakov equation M Gazeau SIAM Journal on Numerical Analysis 52 (1), 533-553, 2014 | 15 | 2014 |
| An empirical study of stochastic gradient descent with structured covariance noise Y Wen, K Luk, M Gazeau, G Zhang, H Chan, J Ba International Conference on Artificial Intelligence and Statistics, 3621-3631, 2020 | 14 | 2020 |
| Bloch theory and spectral gaps for linearized water waves W Craig, M Gazeau, C Lacave, C Sulem SIAM Journal on Mathematical Analysis 50 (5), 5477-5501, 2018 | 10 | 2018 |
| Analysis and simulation of rare events for SPDEs CE Bréhier, M Gazeau, L Goudenège, M Rousset ESAIM: Proceedings and Surveys 48, 364-384, 2015 | 10 | 2015 |
| Numerical simulation of nonlinear pulse propagation in optical fibers with randomly varying birefringence M Gazeau Journal of the Optical Society of America B 30 (9), 2443-2451, 2013 | 9 | 2013 |
| Learning to efficiently propagate for reasoning on knowledge graphs Z Zhu, X Yuan, LP Xhonneux, M Zhang, M Gazeau, J Tang arXiv preprint arXiv:2206.04798, 2022 | 6 | 2022 |
| Vision-language models as a source of rewards H Chan, V Mnih, F Behbahani, M Laskin, L Wang, F Pardo, M Gazeau, ... Second Agent Learning in Open-Endedness Workshop, 2023 | 5 | 2023 |
| Implicit manifold learning on generative adversarial networks KYC Lui, Y Cao, M Gazeau, KS Zhang arXiv preprint arXiv:1710.11260, 2017 | 5 | 2017 |
| Role of nonlinearity in non-Hermitian quantum mechanics: Description of linear quantum electrodynamics from the nonlinear Schrödinger-Poisson equation GC Reinisch, M Gazeau The European Physical Journal Plus 131 (7), 220, 2016 | 5 | 2016 |
| In-context reinforcement learning with algorithm distillation, 2022 M Laskin, L Wang, J Oh, E Parisotto, S Spencer, R Steigerwald, D Strouse, ... URL https://arxiv. org/abs/2210.14215, 0 | 5 | |
| Higher order generalization error for first order discretization of langevin diffusion MB Li, M Gazeau arXiv preprint arXiv:2102.06229, 2021 | 1 | 2021 |
| Scalable recommender systems through recursive evidence chains E Tragas, C Luo, M Gazeau, K Luk, D Duvenaud arXiv preprint arXiv:1807.02150, 2018 | 1 | 2018 |