Hugo Berard
Hugo Berard
PhD student, MILA, University of Montreal
Verified email at umontreal.ca - Homepage
Title
Cited by
Cited by
Year
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
1952018
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
322019
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
122020
Parametric adversarial divergences are good task losses for generative modeling
G Huang, H Berard, A Touati, G Gidel, P Vincent, S Lacoste-Julien
arXiv preprint arXiv:1708.02511, 2017
12*2017
Adversarial Example Games
AJ Bose, G Gidel, H Berard, A Cianflone, P Vincent, S Lacoste-Julien, ...
NeurIPS 2020 - Advances in Neural Information Processing Systems 33, 2020
72020
Online Adversarial Attacks
A Mladenovic, AJ Bose, H Berard, WL Hamilton, S Lacoste-Julien, ...
arXiv preprint arXiv:2103.02014, 2021
12021
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
arXiv preprint arXiv:2107.00052, 2021
2021
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