Periodic Schrödinger Operators with Local Defects and Spectral Pollution. - Eric Cancès; Virginie Ehrlacher; Yvon Maday (SIAM J. Numer. Anal., 2012)

Non-consistent approximations of self-adjoint eigenproblems: application to the supercell method. - Eric Cancès; Virginie Ehrlacher; Yvon Maday (Numerische Mathematik, 2014)

A dynamical adaptive tensor method for the Vlasov-Poisson system. - Virginie Ehrlacher; Damiano Lombardi (J. Comput. Phys., 2017)

A Progressive Reduced Basis/Empirical Interpolation Method for Nonlinear Parabolic Problems. - Amina Benaceur; Virginie Ehrlacher; Alexandre Ern; Sébastien Meunier (SIAM J. Sci. Comput., 2018)

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)

Adaptive force biasing algorithms: new convergence results and tensor approximations of the bias. - Virginie Ehrlacher; Tony Lelièvre; Pierre Monmarché (CoRR, 2020)

Finite volumes for the Stefan-Maxwell cross-diffusion system. - Clément Cancès; Virginie Ehrlacher; Laurent Monasse (CoRR, 2020)

CP-TT: using TT-SVD to greedily construct a Canonical Polyadic tensor approximation. - Virginie Ehrlacher; Maria Fuente Ruiz; Damiano Lombardi (CoRR, 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)

An Embedded Corrector Problem for Homogenization. Part I: Theory. - Eric Cancès; Virginie Ehrlacher; Frédéric Legoll; Benjamin Stamm; Shuyang Xiang (Multiscale Model. Simul., 2020)

Numerical quadrature in the Brillouin zone for periodic Schrödinger operators. - Eric Cancès; Virginie Ehrlacher; David Gontier; Antoine Levitt; Damiano Lombardi (Numerische Mathematik, 2020)

Constrained overdamped Langevin dynamics for symmetric multimarginal optimal transportation. - Aurélien Alfonsi; Rafaël Coyaud; Virginie Ehrlacher (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)

Multi-center decomposition of molecular densities: a mathematical perspective. - Robert Benda; Eric Cancès; Virginie Ehrlacher; Benjamin Stamm (CoRR, 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)

Approximation of optimal transport problems with marginal moments constraints. - Aurélien Alfonsi; Rafaël Coyaud; Virginie Ehrlacher; Damiano Lombardi (Math. Comput., 2021)

Adaptive Hierarchical Subtensor Partitioning for Tensor Compression. - Virginie Ehrlacher; Laura Grigori; Damiano Lombardi; Hao Song (SIAM J. Sci. Comput., 2021)

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)

Deep Learning-based Schemes for Singularly Perturbed Convection-Diffusion Problems. - A. Beguinet; Virginie Ehrlacher; R. Flenghi; M. Fuente; Olga Mula; Agustín Somacal (CoRR, 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)

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)

Numerical solution of Poisson partial differential equations in high dimension using deep neural networks. - Mathias Dus; Virginie Ehrlacher (CoRR, 2023)

Embedded corrector problems for homogenization in linear elasticity. - Virginie Ehrlacher; Frédéric Legoll; Benjamin Stamm; Shuyang Xiang (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)

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)

A reduced basis method for frictional contact problems formulated with Nitsche's method. - Idrissa Niakh; Guillaume Drouet; Virginie Ehrlacher; Alexandre Ern (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)

An Application of Reduced Basis Methods to Core Computation in APOLLO3. - Yonah Conjungo Taumhas; Geneviève Dusson; Virginie Ehrlacher; Tony Lelièvre; François Madiot (CoRR, 2023)

Tensor approximation of the self-diffusion matrix of tagged particle processes. - Jad Dabaghi; Virginie Ehrlacher; Christoph Strössner (J. Comput. Phys., 2023)

A space-time variational formulation for the many-body electronic Schrödinger evolution equation. - Mi-Song Dupuy; Virginie Ehrlacher; Clément Guillot (CoRR, 2024)

An elasticity-based mesh morphing technique with application to reduced-order modeling. - Abbas Kabalan; Fabien Casenave; Felipe Bordeu; Virginie Ehrlacher; Alexandre Ern (CoRR, 2024)

Cross-diffusion systems coupled via a moving interface. - Clément Cancès; Jean Cauvin-Vila; Claire Chainais-Hillairet; Virginie Ehrlacher (CoRR, 2024)

Numerical solution of Poisson partial differential equation in high dimension using two-layer neural networks. - Mathias Dus; Virginie Ehrlacher (Math. Comput., 2024)

O-MMGP: Optimal Mesh Morphing Gaussian Process Regression for Solving PDEs with non-Parametric Geometric Variations. - Abbas Kabalan; Fabien Casenave; Felipe Bordeu; Virginie Ehrlacher (CoRR, 2025)