58 citations · 304 across the 27 of their papers we have counts for
5 papers · 1 filter
Gas kinematics around filamentary structures in the Orion B cloud
Mathilde Gaudel, Jan H. Orkisz, Maryvonne Gerin +27
Understanding the initial properties of star-forming material and how they affect the star formation process is key. From an observational point of view, the feedback from young hi…
Efficient sampling of non log-concave posterior distributions with mixture of noises
Pierre Palud, Pierre-Antoine Thouvenin, Pierre Chainais +2
This paper focuses on a challenging class of inverse problems that is often encountered in applications. The forward model is a complex non-linear black-box, potentially non-inject…
A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems
Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
Sampling-based algorithms are classical approaches to perform Bayesian inference in inverse problems. They provide estimators with the associated credibility intervals to quantify…
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Despite their advantages, normalizing flows generally suffer from several shortcomings including their tendency to generate unrealistic data (e.g., images) and their failing to det…
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Optimal transport (OT) provides effective tools for comparing and mapping probability measures. We propose to leverage the flexibility of neural networks to learn an approximate op…