Florentin Coeurdoux

13 papers B 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
MGD: Moment Guided Diffusion for Maximum Entropy Generation.
CoRR
Etienne Lempereur, Nathanaël Cuvelle-Magar, Florentin Coeurdoux, Stéphane Mallat, Eric Vanden-Eijnden
2026 J jnl
Probing the Geometry of Diffusion Models with the String Method.
CoRR
Elio Moreau, Florentin Coeurdoux, Grégoire Ferré, Eric Vanden-Eijnden
2026 J jnl
Training-Free Generative Modeling via Kernelized Stochastic Interpolants.
CoRR
Florentin Coeurdoux, Etienne Lempereur, Nathanaël Cuvelle-Magar, Thomas Eboli, Stéphane Mallat, Anastasia Borovykh, Eric Vanden-Eijnden
2025 J jnl
Multitask Learning with Stochastic Interpolants.
CoRR
Hugo Negrel, Florentin Coeurdoux, Michael S. Albergo, Eric Vanden-Eijnden
2024 J jnl
Normalizing flow sampling with Langevin dynamics in the latent space.
Mach. Learn.
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
2024 J jnl
Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference.
IEEE Trans. Image Process.
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
2023 — —
Monte Carlo sampling and deep generative models for Bayesian inference. (Echantillonnage Monte Carlo et modèles génératifs profonds pour inférence Bayésienne).
Florentin Coeurdoux
2023 J jnl
Normalizing flow sampling with Langevin dynamics in the latent space.
CoRR
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
2023 J jnl
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference.
CoRR
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
2022 — conf
Learning Optimal Transport Between Two Empirical Distributions with Normalizing Flows.
ECML/PKDD (5)
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
2022 J jnl
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows.
CoRR
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
2022 B conf
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training.
ESANN
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
2022 J jnl
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training.
CoRR
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais