High-dimensional mathematical methods for LargE Agent and Particle systems

Project Information

HighLEAP

Grant agreement ID: 101077204

DOI

10.3030/101077204

EC signature date 28 July 2023

Start date 1 December 2023

End date 30 November 2028

Funded under

• European Research Council (ERC)

Total cost

€ 1 379 858,00

EU contribution

€ 1 379 858,00

Coordinated by

ECOLE NATIONALE DES PONTS ET CHAUSSEES
France

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (1)

Comparison between tensor methods and neural networks in electronic structure calculations

Author(s): Dus, Mathias; Dusson, Geneviève; Ehrlacher, Virginie; Guillot, Clément; Soffo Wambo, Joel Pascal
Published in: ESAIM: Proceedings and Surveys, 2025, ISSN 1270-900X
Publisher: EDP Sciences
DOI: 10.48550/ARXIV.2412.03319

Peer reviewed articles (8)

Mathematics of Computation

Author(s): Mathias Dus; Virginie Ehrlacher
Published in: Mathematics of Computation, 2024, ISSN 0025-5718
Publisher: American Mathematical Society
DOI: 10.48550/ARXIV.2305.09408

Marginal-Constrained Modified Wasserstein Barycenters for Gaussian Distributions and Gaussian Mixtures

Author(s): Maxime Dalery; Geneviève Dusson; Virginie Ehrlacher
Published in: SIAM Journal on Matrix Analysis and Applications, 2026, ISSN 0895-4798
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/24M1693349

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

Author(s): Geneviève Dusson, Virginie Ehrlacher, Nathalie Nouaime
Published in: ESAIM: Control, Optimisation and Calculus of Variations, Issue 32, 2026, ISSN 1292-8119
Publisher: EDP Sciences
DOI: 10.1051/COCV/2026004

Nonlinear Reduced Basis using Mixture Wasserstein Barycenters: Application to an Eigenvalue Problem Inspired from Quantum Chemistry

Author(s): Maxime Dalery, Geneviève Dusson, Virginie Ehrlacher, Alexei Lozinski
Published in: Constructive Approximation, 2026, ISSN 0176-4276
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S00365-026-09732-Z

Influence of sampling on the convergence rates of greedy algorithms for parameter-dependent random variables

Author(s): Mohamed-Raed Blel, Virginie Ehrlacher, Tony Lelièvre
Published in: Mathematics of Computation, 2026, ISSN 0025-5718
Publisher: American Mathematical Society (AMS)
DOI: 10.1090/MCOM/3979

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

Author(s): Conjungo Taumhas, Yonah; Dusson, Geneviève; Ehrlacher, Virginie; Lelièvre, Tony; Madiot, François
Published in: ESAIM: Mathematical Modelling and Numerical Analysis, 2024, ISSN 2822-7840
Publisher: EDP Sciences
DOI: 10.48550/ARXIV.2307.05978

Structure-preserving reduced order model for parametric cross-diffusion systems

Author(s): Dabaghi, Jad; Ehrlacher, Virginie
Published in: ESAIM: Mathematical Modelling and Numerical Analysis, 2024, ISSN 2822-7840
Publisher: EDP Sciences
DOI: 10.1051/M2AN/2024026

Applied Mathematical Modelling

Author(s): Abbas Kabalan; Fabien Casenave; Felipe Bordeu; Virginie Ehrlacher; Alexandre Ern
Published in: Applied Mathematical Modelling, 2025, ISSN 0307-904X
Publisher: ScienceDirect
DOI: 10.48550/ARXIV.2407.02433