| A variational inequality perspective on generative adversarial networks G Gidel, H Berard, G Vignoud, P Vincent, S Lacoste-Julien ICLR 2019 - Seventh International Conference on Learning Representations, 2018 | 461 | 2018 |
| A closer look at the optimization landscapes of generative adversarial networks H Berard, G Gidel, A Almahairi, P Vincent, S Lacoste-Julien ICLR 2020 - Eighth International Conference on Learning Representations, 2019 | 77 | 2019 |
| Adversarial Example Games AJ Bose, G Gidel, H Berard, A Cianflone, P Vincent, S Lacoste-Julien, ... NeurIPS 2020 - Advances in Neural Information Processing Systems 34, 2020 | 63 | 2020 |
| Stochastic hamiltonian gradient methods for smooth games N Loizou, H Berard, A Jolicoeur-Martineau, P Vincent, S Lacoste-Julien, ... ICML 2020 - Proceedings of the 37th International Conference on Machine …, 2020 | 55 | 2020 |
| Stochastic gradient descent-ascent and consensus optimization for smooth games: Convergence analysis under expected co-coercivity N Loizou, H Berard, G Gidel, I Mitliagkas, S Lacoste-Julien NeurIPS 2021 - Advances in Neural Information Processing Systems 35, 2021 | 50 | 2021 |
| Stochastic gradient descent-ascent: Unified theory and new efficient methods A Beznosikov, E Gorbunov, H Berard, N Loizou AISTATS 2023 - International Conference on Artificial Intelligence and …, 2023 | 47 | 2023 |
| Stochastic extragradient: General analysis and improved rates E Gorbunov, H Berard, G Gidel, N Loizou AISTATS 2022 - International Conference on Artificial Intelligence and …, 2022 | 38 | 2022 |
| Parametric adversarial divergences are good task losses for generative modeling G Huang, H Berard, A Touati, G Gidel, P Vincent, S Lacoste-Julien | 18* | 2018 |
| Online adversarial attacks A Mladenovic, AJ Bose, H Berard, WL Hamilton, S Lacoste-Julien, ... ICLR 2022 - International Conference on Learning Representations, 2021 | 13 | 2021 |
| Adversarial divergences are good task losses for generative modeling G Huang, G Gidel, H Berard, A Touati, S Lacoste-Julien arXiv preprint arXiv:1708.02511, 2017 | 2 | 2017 |
| Adversarial games in machine learning: challenges and applications H Berard | | 2023 |
| A Distributional Robustness Perspective on Adversarial Training with the -Wasserstein Distance C Regniez, G Gidel, H Berard | | |
Gauthier GidelAssistant professor at Mila, University of Montréal (DIRO)Verified email at umontreal.ca
