Tony Lelièvre
Orcid: 0000-0002-3412-113X
According to our database1,
Tony Lelièvre
authored at least 41 papers
between 2004 and 2024.
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Bibliography
2024
2023
Reduced basis method for non-symmetric eigenvalue problems: application to the multigroup neutron diffusion equations.
CoRR, 2023
CoRR, 2023
2022
An Adaptive Parareal Algorithm: Application to the Simulation of Molecular Dynamics Trajectories.
SIAM J. Sci. Comput., 2022
Combining machine-learned and empirical force fields with the parareal algorithm: application to the diffusion of atomistic defects.
CoRR, 2022
2021
Influence of sampling on the convergence rates of greedy algorithms for parameter-dependent random variables.
CoRR, 2021
2020
Correction to: Hybrid Monte Carlo methods for sampling probability measures on submanifolds.
Numerische Mathematik, 2020
Adaptive force biasing algorithms: new convergence results and tensor approximations of the bias.
CoRR, 2020
Statistical Estimation of the Poincaré constant and Application to Sampling Multimodal Distributions.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Numerische Mathematik, 2019
Pathwise Estimates for Effective Dynamics: The Case of Nonlinear Vectorial Reaction Coordinates.
Multiscale Model. Simul., 2019
Analysis of the adaptive multilevel splitting method on the isomerization of alanine dipeptide.
J. Comput. Chem., 2019
gen.parRep: A first implementation of the Generalized Parallel Replica dynamics for the long time simulation of metastable biochemical systems.
Comput. Phys. Commun., 2019
Parareal computation of stochastic differential equations with time-scale separation: a numerical study.
CoRR, 2019
2018
A non linear approximation method for solving high dimensional partial differential equations: Application in finance.
Math. Comput. Simul., 2018
2017
2016
Variants of the Empirical Interpolation Method: Symmetric formulation, choice of norms and rectangular extension.
Appl. Math. Lett., 2016
Acta Numer., 2016
2015
Adv. Comput. Math., 2015
2014
Multiscale Model. Simul., 2014
Multiscale Model. Simul., 2014
2013
A Micro-Macro Parareal Algorithm: Application to Singularly Perturbed Ordinary Differential Equations.
SIAM J. Sci. Comput., 2013
2012
Free energy methods for Bayesian inference: efficient exploration of univariate Gaussian mixture posteriors.
Stat. Comput., 2012
Math. Comput., 2012
Monte Carlo Methods Appl., 2012
2011
Enhanced Sampling of Multidimensional Free-Energy Landscapes Using Adaptive Biasing Forces.
SIAM J. Appl. Math., 2011
2010
Networks Heterog. Media, 2010
2009
Math. Comput., 2009
2007
Computation of free energy differences through nonequilibrium stochastic dynamics: The reaction coordinate case.
J. Comput. Phys., 2007
2005
J. Num. Math., 2005
2004
Modèles multi-échelles pour les fluides viscoélastiques. (Multiscale models for viscoelastic fluids).
PhD thesis, 2004