25 citations · 27 across the 11 of their papers we have counts for
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stat.ML2026
Twisted Schrödinger Bridge Matching
Maxence Noble, Marie Scheid, Yazid Janati +2
Over the past few years, diffusion-based Schrödinger bridge models have been proposed to approximate optimal transport dynamics between two prescribed boundary distributions, with…
stat.ML2026
Sampling from multi-modal distributions on Riemannian manifolds with training-free stochastic interpolants
Alain Durmus, Maxence Noble, Thibaut Pellerin
In this paper, we propose a general methodology for sampling from un-normalized densities defined on Riemannian manifolds, with a particular focus on multi-modal targets that remai…
stat.ML2026
Diffusion-based Annealed Boltzmann Generators : benefits, pitfalls and hopes
Louis Grenioux, Maxence Noble
Sampling configurations at thermodynamic equilibrium is a central challenge in statistical physics. Boltzmann Generators (BGs) tackle it by combining a generative model with a Mont…