Louis Grenioux

11 papers A* 3Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Diffusive Classification Loss for Learning Energy-based Generative Models.
CoRR
Ruikang Ouyang, Louis Grenioux, José Miguel Hernández-Lobato
2026 J jnl
Diffusion-based Annealed Boltzmann Generators : benefits, pitfalls and hopes.
CoRR
Louis Grenioux, Maxence Noble
2025 J jnl
Improving the evaluation of samplers on multi-modal targets.
CoRR
Louis Grenioux, Maxence Noble, Marylou Gabrié
2025 A* conf
Learned Reference-based Diffusion Sampler for multi-modal distributions.
ICLR
Maxence Noble, Louis Grenioux, Marylou Gabrié, Alain Oliviero Durmus
2025 J jnl
Riemannian Stochastic Interpolants for Amorphous Particle Systems.
CoRR
Louis Grenioux, Leonardo Galliano, Ludovic Berthier, Giulio Biroli, Marylou Gabrié
2024 J jnl
Learned Reference-based Diffusion Sampling for multi-modal distributions.
CoRR
Maxence Noble, Louis Grenioux, Marylou Gabrié, Alain Oliviero Durmus
2024 A* conf
Stochastic Localization via Iterative Posterior Sampling.
ICML
Louis Grenioux, Maxence Noble, Marylou Gabrié, Alain Oliviero Durmus
2024 J jnl
Stochastic Localization via Iterative Posterior Sampling.
CoRR
Louis Grenioux, Maxence Noble, Marylou Gabrié, Alain Oliviero Durmus
2023 J jnl
Balanced Training of Energy-Based Models with Adaptive Flow Sampling.
CoRR
Louis Grenioux, Éric Moulines, Marylou Gabrié
2023 A* conf
On Sampling with Approximate Transport Maps.
ICML
Louis Grenioux, Alain Oliviero Durmus, Eric Moulines, Marylou Gabrié
2023 J jnl
On Sampling with Approximate Transport Maps.
CoRR
Louis Grenioux, Alain Durmus, Éric Moulines, Marylou Gabrié