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Hugo Berard
Hugo Berard
PhD student, MILA, University of Montreal
Geverifieerd e-mailadres voor umontreal.ca - Homepage
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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
4252018
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
712019
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
552020
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
532020
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
442021
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
342023
Stochastic extragradient: General analysis and improved rates
E Gorbunov, H Berard, G Gidel, N Loizou
AISTATS 2022 - International Conference on Artificial Intelligence and …, 2022
272022
Parametric adversarial divergences are good task losses for generative modeling
G Huang, H Berard, A Touati, G Gidel, P Vincent, S Lacoste-Julien
202018
Online adversarial attacks
A Mladenovic, AJ Bose, H Berard, WL Hamilton, S Lacoste-Julien, ...
ICLR 2022 - International Conference on Learning Representations, 2021
122021
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
2021
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Artikelen 1–11