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
484 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
81 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
68 2020 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
60 2023 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
59 2021 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
57 2020 Stochastic extragradient: General analysis and improved rates E Gorbunov, H Berard, G Gidel, N Loizou
AISTATS 2022 - International Conference on Artificial Intelligence and …, 2022
48 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
14 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 The Right to AI R Mushkani, H Berard, A Cohen, S Koeski
arXiv preprint arXiv:2501.17899, 2025
2025 AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces S Gowaikar, H Berard, R Mushkani, EB Marchand, T Ammar, S Koseki
arXiv preprint arXiv:2411.00956, 2024
2024 From Efficiency to Equity: Measuring Fairness in Preference Learning S Gowaikar, H Berard, R Mushkani, S Koseki
arXiv preprint arXiv:2410.18841, 2024
2024 Evaluation algorithmique inclusive de la qualité des espaces publics S Koseki, T Ammar, RA Mushkani, H Berard, S Tannir
SHS Web of Conferences 203, 01005, 2024
2024 Adversarial games in machine learning: challenges and applications H Berard
2023 MID-Space: Aligning Diverse Communities' Needs to Inclusive Public Spaces S Nayak, R Mushkani, H Berard, A Cohen, S Koseki, H Bertrand
Pluralistic Alignment Workshop at NeurIPS 2024, 0
A Distributional Robustness Perspective on Adversarial Training with the C Regniez, G Gidel, H Berard
Gauthier GidelAssistant professor at Mila, University of Montréal (DIRO)Dirección de correo verificada de umontreal.ca
