Hugo Berard
Hugo Berard
PhD student, MILA, University of Montreal
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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
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
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
Parametric adversarial divergences are good task losses for generative modeling
G Huang, H Berard, A Touati, G Gidel, P Vincent, S Lacoste-Julien
Stochastic extragradient: General analysis and improved rates
E Gorbunov, H Berard, G Gidel, N Loizou
International Conference on Artificial Intelligence and Statistics, 7865-7901, 2022
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
Stochastic gradient descent-ascent: Unified theory and new efficient methods
A Beznosikov, E Gorbunov, H Berard, N Loizou
arXiv preprint arXiv:2202.07262, 2022
Online Adversarial Attacks
A Mladenovic, AJ Bose, H Berard, WL Hamilton, S Lacoste-Julien, ...
arXiv preprint arXiv:2103.02014, 2021
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