8 October 2026
Embedding large subsets of Wasserstein spaces into Banach spaces
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Read the paperINRIA SACLAY · CNRS · UNIVERSITÉ PARIS-SACLAY
Optimal Transport & Particle Methods
Who we are
ParMA is a research team at the Inria Saclay Centre, in partnership with CNRS and Université Paris-Saclay. We study optimal transport and its applications, with a particular focus on particle methods. Our research focuses on the application of OT techniques to the numerical resolution of problems, where one want to impose that a point cloud (representing either some data, or the result of a simulation) follows a certain probability distribution. This will for instance be done by using the Wasserstein distance as a penalization. We especially focus on the numerical analysis and resolution relying on particle discretization (i.e. point clouds).
A cloud of particles forming our logo
8 October 2026
Preprint
Read the paper1 October 2026
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Read the paper15 September 2026
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Read the paperOUR RESEARCH SEMINAR
The GdT OT-PDE-ML is a research seminar organized by the ParMA team. It brings together researchers to discuss recent theoretical and numerical developments at the crossroads of Optimal Transport theory, Partial Differential Equations, and Machine Learning.
Program and session archive16 November 2026 · Room 3L15
10:00 · Julien Guérin
Quantitative stability of classical, entropic, and doubly entropic Wasserstein barycenters
11:00 · Alessandro Cosenza
Small noise limit for Entropic Variational Mean Field Games