On the Control of an Interacting Particle Estimation of Schrödinger Ground States. - Mathias Rousset (SIAM J. Math. Anal., 2006)

Computation of free energy differences through nonequilibrium stochastic dynamics: The reaction coordinate case. - Tony Lelièvre; Mathias Rousset; Gabriel Stoltz (J. Comput. Phys., 2007)

Implicit Mass-matrix Penalization of Hamiltonian Dynamics with Application to Exact Sampling of Stiff Systems. - Petr Plechác; Mathias Rousset (Multiscale Model. Simul., 2009)

Langevin dynamics with constraints and computation of free energy differences. - Tony Lelièvre; Mathias Rousset; Gabriel Stoltz (Math. Comput., 2012)

Probability in computational physics and biology: some mathematical contributions. (Probabilités en physique et biologie numérique: quelques contributions mathématiques). - Mathias Rousset (2014)

On the Asymptotic Normality of Adaptive Multilevel Splitting. - Frédéric Cérou; Bernard Delyon; Arnaud Guyader; Mathias Rousset (SIAM/ASA J. Uncertain. Quantification, 2019)

Hybrid Monte Carlo methods for sampling probability measures on submanifolds. - Tony Lelièvre; Mathias Rousset; Gabriel Stoltz (Numerische Mathematik, 2019)

Exact targeting of Gibbs distributions using velocity-jump processes. - Pierre Monmarché; Mathias Rousset; Pierre-André Zitt (CoRR, 2020)

Correction to: Hybrid Monte Carlo methods for sampling probability measures on submanifolds. - Tony Lelièvre; Mathias Rousset; Gabriel Stoltz (Numerische Mathematik, 2020)

Efficient Statistical Assessment of Neural Network Corruption Robustness. - Karim Tit; Teddy Furon; Mathias Rousset (NeurIPS, 2021)

Uncertainty of Atmospheric Motion Vectors by Sampling Tempered Posterior Distributions. - Patrick Héas; Frédéric Cérou; Mathias Rousset (CoRR, 2022)

Entropy minimizing distributions are worst-case optimal importance proposals. - Frédéric Cérou; Patrick Héas; Mathias Rousset (CoRR, 2022)

Fluctuations of Rare Event Simulation with Monte Carlo Splitting in the Small Noise Asymptotics. - Frédéric Cérou; Sofiane Martel; Mathias Rousset (CoRR, 2022)

Gradient-Informed Neural Network Statistical Robustness Estimation. - Karim Tit; Teddy Furon; Mathias Rousset (AISTATS, 2023)