| Issue |
ESAIM: COCV
Volume 32, 2026
|
|
|---|---|---|
| Article Number | 19 | |
| Number of page(s) | 33 | |
| DOI | https://doi.org/10.1051/cocv/2026004 | |
| Published online | 10 March 2026 | |
A Wasserstein-type metric for generic mixture models, including location-scatter and group invariant measures
1
Université Marie et Louis Pasteur, CNRS, LmB (UMR 6623), F-25000 Besançon, France
2
CERMICS, École des Ponts & Inria Paris, France
3
CEA Saclay, DEN/DM2S/STMF/LMSF, France
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
14
November
2025
Accepted:
7
January
2026
Abstract
In this article, we study Wasserstein-type metrics and corresponding barycenters for mixtures of a chosen subset of probability measures called atoms hereafter. In particular, this works extends what was proposed by Delon and Desolneux [SIAM J. Imaging Sci. 13 (2020) 936-970] for mixtures of Gaussian measures to other mixtures. We first prove in a general setting that for a set of atoms equipped with a metric that defines a geodesic space, the set of mixtures based on this set of atoms is a also geodesic space for the defined modified Wasserstein metric. We then focus on two particular cases of sets of atoms: (i) the set of location-scatter atoms and (ii) the set of measures that are invariant with respect to some symmetry group. Both cases are particularly relevant for various applications among which electronic structure calculations. Along the way, we also prove some sparsity and symmetry properties of optimal transport plans between measures that are invariant under some well-chosen symmetries.
Mathematics Subject Classification: 65D05 / 65K10 / 41A05 / 41A63 / 46G99 / 46T12 / 60B05 / 47N50
Key words: Optimal transport / mixture / Wasserstein distance / Wasserstein barycenters
© The authors. Published by EDP Sciences, SMAI 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
