Virginie Ehrlacher

According to our database, Virginie Ehrlacher authored at least 29 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Tensor approximation of the self-diffusion matrix of tagged particle processes.

Jad Dabaghi, Virginie Ehrlacher, Christoph Strössner

J. Comput. Phys., May, 2023

An Application of Reduced Basis Methods to Core Computation in APOLLO3.

Yonah Conjungo Taumhas, Geneviève Dusson, Virginie Ehrlacher, Tony Lelièvre, François Madiot

CoRR, 2023

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

Maxime Dalery, Geneviève Dusson, Virginie Ehrlacher, Alexei Lozinski

CoRR, 2023

A reduced basis method for frictional contact problems formulated with Nitsche's method.

Idrissa Niakh, Guillaume Drouet, Virginie Ehrlacher, Alexandre Ern

CoRR, 2023

Stationary solutions and large time asymptotics to a cross-diffusion-Cahn-Hilliard system.

Jean Cauvin-Vila, Virginie Ehrlacher, Greta Marino, Jan-Frederik Pietschmann

CoRR, 2023

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

Yonah Conjungo Taumhas, Geneviève Dusson, Virginie Ehrlacher, Tony Lelièvre, François Madiot

CoRR, 2023

Embedded corrector problems for homogenization in linear elasticity.

Virginie Ehrlacher, Frédéric Legoll, Benjamin Stamm, Shuyang Xiang

CoRR, 2023

Numerical solution of Poisson partial differential equations in high dimension using deep neural networks.

Mathias Dus, Virginie Ehrlacher

CoRR, 2023

Structure Preserving Finite Volume Approximation of Cross-Diffusion Systems Coupled by a Free Interface.

Clément Cancès, Jean Cauvin-Vila, Claire Chainais-Hillairet, Virginie Ehrlacher

CoRR, 2023

2022

SOTT: Greedy Approximation of a Tensor as a Sum of Tensor Trains.

Virginie Ehrlacher, Maria Fuente Ruiz, Damiano Lombardi

SIAM J. Sci. Comput., 2022

Deep Learning-based Schemes for Singularly Perturbed Convection-Diffusion Problems.

A. Beguinet, Virginie Ehrlacher, R. Flenghi, M. Fuente, Olga Mula, Agustín Somacal

CoRR, 2022

Waserstein model reduction approach for parametrized flow problems in porous media.

Beatrice Battisti, Tobias Blickhan, Guillaume Enchéry, Virginie Ehrlacher, Damiano Lombardi, Olga Mula

CoRR, 2022

2021

Adaptive Hierarchical Subtensor Partitioning for Tensor Compression.

Virginie Ehrlacher, Laura Grigori, Damiano Lombardi, Hao Song

SIAM J. Sci. Comput., 2021

Approximation of optimal transport problems with marginal moments constraints.

Aurélien Alfonsi, Rafaël Coyaud, Virginie Ehrlacher, Damiano Lombardi

Math. Comput., 2021

Computation of the self-diffusion coefficient with low-rank tensor methods: application to the simulation of a cross-diffusion system.

Jad Dabaghi, Virginie Ehrlacher, Christoph Strössner

CoRR, 2021

Multi-center decomposition of molecular densities: a mathematical perspective.

Robert Benda, Eric Cancès, Virginie Ehrlacher, Benjamin Stamm

CoRR, 2021

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

Mohamed-Raed Blel, Virginie Ehrlacher, Tony Lelièvre

CoRR, 2021

Constrained overdamped Langevin dynamics for symmetric multimarginal optimal transportation.

Aurélien Alfonsi, Rafaël Coyaud, Virginie Ehrlacher

CoRR, 2021

2020

Numerical quadrature in the Brillouin zone for periodic Schrödinger operators.

Eric Cancès, Virginie Ehrlacher, David Gontier, Antoine Levitt, Damiano Lombardi

Numerische Mathematik, 2020

An Embedded Corrector Problem for Homogenization. Part I: Theory.

Eric Cancès, Virginie Ehrlacher, Frédéric Legoll, Benjamin Stamm, Shuyang Xiang

Multiscale Model. Simul., 2020

An embedded corrector problem for homogenization. Part II: Algorithms and discretization.

Eric Cancès, Virginie Ehrlacher, Frédéric Legoll, Benjamin Stamm, Shuyang Xiang

J. Comput. Phys., 2020

CP-TT: using TT-SVD to greedily construct a Canonical Polyadic tensor approximation.

Virginie Ehrlacher, Maria Fuente Ruiz, Damiano Lombardi

CoRR, 2020

Finite volumes for the Stefan-Maxwell cross-diffusion system.

Clément Cancès, Virginie Ehrlacher, Laurent Monasse

CoRR, 2020

Adaptive force biasing algorithms: new convergence results and tensor approximations of the bias.

Virginie Ehrlacher, Tony Lelièvre, Pierre Monmarché

CoRR, 2020

2019

Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces.

Virginie Ehrlacher, Damiano Lombardi, Olga Mula, François-Xavier Vialard

CoRR, 2019

2018

A Progressive Reduced Basis/Empirical Interpolation Method for Nonlinear Parabolic Problems.

Amina Benaceur, Virginie Ehrlacher, Alexandre Ern, Sébastien Meunier

SIAM J. Sci. Comput., 2018

2017

A dynamical adaptive tensor method for the Vlasov-Poisson system.

Virginie Ehrlacher, Damiano Lombardi

J. Comput. Phys., 2017

2014

Non-consistent approximations of self-adjoint eigenproblems: application to the supercell method.

Eric Cancès, Virginie Ehrlacher, Yvon Maday

Numerische Mathematik, 2014

2012

Periodic Schrödinger Operators with Local Defects and Spectral Pollution.

Eric Cancès, Virginie Ehrlacher, Yvon Maday

SIAM J. Numer. Anal., 2012