Hugo Berard - RankMe

27 papers A* 6A 2Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Co-Producing AI: Toward an Augmented, Participatory Lifecycle. CoRR Rashid Mushkani, Hugo Berard, Toumadher Ammar, Cassandre Chatonnier, Shin Koseki
2025	A*	`conf`	LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces. ICML Rashid Mushkani, Shravan Nayak, Hugo Berard, Allison Cohen, Shin Koseki, Hadrien Bertrand
2025	J	`jnl`	LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces. CoRR Rashid Mushkani, Shravan Nayak, Hugo Berard, Allison Cohen, Shin Koseki, Hadrien Bertrand
2025	J	`jnl`	Negotiative Alignment: Embracing Disagreement to Achieve Fairer Outcomes - Insights from Urban Studies. CoRR Rashid Mushkani, Hugo Berard, Shin Koseki
2025	—	`conf`	Position: The Right to AI. ICML (Position Papers) Rashid Mushkani, Hugo Berard, Allison Cohen, Shin Koseki
2025	J	`jnl`	The Right to AI. CoRR Rashid Mushkani, Hugo Berard, Allison Cohen, Shin Koeski
2025	J	`jnl`	WeDesign: Generative AI-Facilitated Community Consultations for Urban Public Space Design. CoRR Rashid Mushkani, Hugo Berard, Shin Koseki
2024	J	`jnl`	AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces. CoRR Shreeyash Gowaikar, Hugo Berard, Rashid Mushkani, Emmanuel Beaudry Marchand, Toumadher Ammar, Shin Koseki
2024	J	`jnl`	From Efficiency to Equity: Measuring Fairness in Preference Learning. CoRR Shreeyash Gowaikar, Hugo Berard, Rashid Mushkani, Shin Koseki
2023	A	`conf`	Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods. AISTATS Aleksandr Beznosikov, Eduard Gorbunov, Hugo Berard, Nicolas Loizou
2022	A*	`conf`	Online Adversarial Attacks. ICLR Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
2022	A	`conf`	Stochastic Extragradient: General Analysis and Improved Rates. AISTATS Eduard Gorbunov, Hugo Berard, Gauthier Gidel, Nicolas Loizou
2022	J	`jnl`	Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods. CoRR Aleksandr Beznosikov, Eduard Gorbunov, Hugo Berard, Nicolas Loizou
2021	J	`jnl`	Online Adversarial Attacks. CoRR Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
2021	J	`jnl`	Stochastic Extragradient: General Analysis and Improved Rates. CoRR Eduard Gorbunov, Hugo Berard, Gauthier Gidel, Nicolas Loizou
2021	A*	`conf`	Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity. NeurIPS Nicolas Loizou, Hugo Berard, Gauthier Gidel, Ioannis Mitliagkas, Simon Lacoste-Julien
2021	J	`jnl`	Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity. CoRR Nicolas Loizou, Hugo Berard, Gauthier Gidel, Ioannis Mitliagkas, Simon Lacoste-Julien
2020	A*	`conf`	A Closer Look at the Optimization Landscapes of Generative Adversarial Networks. ICLR Hugo Berard, Gauthier Gidel, Amjad Almahairi, Pascal Vincent, Simon Lacoste-Julien
2020	A*	`conf`	Adversarial Example Games. NeurIPS Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton
2020	J	`jnl`	Adversarial Example Games. CoRR Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton
2020	A*	`conf`	Stochastic Hamiltonian Gradient Methods for Smooth Games. ICML Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas
2020	J	`jnl`	Stochastic Hamiltonian Gradient Methods for Smooth Games. CoRR Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas
2019	J	`jnl`	A Closer Look at the Optimization Landscapes of Generative Adversarial Networks. CoRR Hugo Berard, Gauthier Gidel, Amjad Almahairi, Pascal Vincent, Simon Lacoste-Julien
2019	—	`conf`	A Variational Inequality Perspective on Generative Adversarial Networks. ICLR (Poster) Gauthier Gidel, Hugo Berard, Gaëtan Vignoud, Pascal Vincent, Simon Lacoste-Julien
2018	J	`jnl`	A Variational Inequality Perspective on Generative Adversarial Nets. CoRR Gauthier Gidel, Hugo Berard, Pascal Vincent, Simon Lacoste-Julien
2018	—	`conf`	Parametric Adversarial Divergences are Good Task Losses for Generative Modeling. ICLR (Workshop) Gabriel Huang, Hugo Berard, Ahmed Touati, Gauthier Gidel, Pascal Vincent, Simon Lacoste-Julien
2017	J	`jnl`	Adversarial Divergences are Good Task Losses for Generative Modeling. CoRR Gabriel Huang, Gauthier Gidel, Hugo Berard, Ahmed Touati, Simon Lacoste-Julien