most citedA Wasserstein-type metric for generic mixture models, including location-scatter and group invariant measures

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2026

An algorithm for dynamical quantum optimal transport with applications to quantum chemistry

Genevieve Dusson, Virginie Ehrlacher, Etienne Obermeyer

Quantum optimal transport (QOT) is a rapidly developing field. Among the many formulations of this adaptation of classical optimal transport (OT) to spaces of density matrices, we…

math.NA2023

An Application of Reduced Basis Methods to Core Computation in APOLLO3

Yonah Conjungo Taumhas, Geneviève Dusson, Virginie Ehrlacher +2

In the aim of reducing the computational cost of the resolution of parameter-dependent eigenvalue problems, a model order reduction (MOR) procedure is proposed. We focus on the cas…

math.NA2023

Reduced basis method for non-symmetric eigenvalue problems: application to the multigroup neutron diffusion equations

Yonah Conjungo Taumhas, Geneviève Dusson, Virginie Ehrlacher +2

In this article, we propose a reduced basis method for parametrized non-symmetric eigenvalue problems arising in the loading pattern optimization of a nuclear core in neutronics. T…

math.NA2023

Nonlinear reduced basis using mixture Wasserstein barycenters: application to an eigenvalue problem inspired from quantum chemistry

Maxime Dalery, Genevieve Dusson, Virginie Ehrlacher +1

The aim of this article is to propose a new reduced-order modelling approach for parametric eigenvalue problems arising in electronic structure calculations. Namely, we develop non…

math.OC2023★ 1 cited

A Wasserstein-type metric for generic mixture models, including location-scatter and group invariant measures

Geneviève Dusson, Virginie Ehrlacher, Nathalie Nouaime

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…