Florentin Coeurdoux

According to our database, Florentin Coeurdoux authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Random Matrix Theory of Early-Stopped Gradient Flow: A Transient BBP Scenario.

Florentin Coeurdoux, Grégoire Ferré, Jean-Philippe Bouchaud

CoRR, April, 2026

Probing the Geometry of Diffusion Models with the String Method.

Elio Moreau, Florentin Coeurdoux, Grégoire Ferré, Eric Vanden-Eijnden

CoRR, February, 2026

Training-Free Generative Modeling via Kernelized Stochastic Interpolants.

Florentin Coeurdoux, Etienne Lempereur, Nathanaël Cuvelle-Magar, Thomas Eboli, Stéphane Mallat, Anastasia Borovykh, Eric Vanden-Eijnden

CoRR, February, 2026

MGD: Moment Guided Diffusion for Maximum Entropy Generation.

Etienne Lempereur, Nathanaël Cuvelle-Magar, Florentin Coeurdoux, Stéphane Mallat, Eric Vanden-Eijnden

CoRR, February, 2026

2025

Multitask Learning with Stochastic Interpolants.

Hugo Negrel, Florentin Coeurdoux, Michael S. Albergo, Eric Vanden-Eijnden

CoRR, August, 2025

2024

Normalizing flow sampling with Langevin dynamics in the latent space.

Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

Mach. Learn., December, 2024

Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference.

Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

IEEE Trans. Image Process., 2024

2023

Monte Carlo sampling and deep generative models for Bayesian inference. (Echantillonnage Monte Carlo et modèles génératifs profonds pour inférence Bayésienne).

Florentin Coeurdoux

PhD thesis, 2023

2022

Learning Optimal Transport Between Two Empirical Distributions with Normalizing Flows.

Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Sliced-Wasserstein normalizing flows: beyond maximum likelihood training.

Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022