Mathias Rousset - researchr alias

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Viewing Publication 1 - 11 from 11

2026

Adaptive Reduced Multilevel SplittingFrédéric Cérou, Patrick Héas, Mathias Rousset. sac, 36(1):13, February 2026. [doi]

2023

Gradient-Informed Neural Network Statistical Robustness EstimationKarim Tit, Teddy Furon, Mathias Rousset. aistats 2023: 323-334 [doi]

2021

Efficient Statistical Assessment of Neural Network Corruption RobustnessKarim Tit, Teddy Furon, Mathias Rousset. nips 2021: 9253-9263 [doi]

2020

Correction to: Hybrid Monte Carlo methods for sampling probability measures on submanifoldsTony Lelièvre, Mathias Rousset, Gabriel Stoltz. nm, 144(2):447-449, 2020. [doi]

2019

On the Asymptotic Normality of Adaptive Multilevel SplittingFrédéric Cérou, Bernard Delyon, Arnaud Guyader, Mathias Rousset. juq, 7(1):1-30, 2019. [doi]

Hybrid Monte Carlo methods for sampling probability measures on submanifoldsTony Lelièvre, Mathias Rousset, Gabriel Stoltz. nm, 143(2):379-421, 2019. [doi]

2014

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

2012

Langevin dynamics with constraints and computation of free energy differencesTony Lelièvre, Mathias Rousset, Gabriel Stoltz. moc, 81(280):2071-2125, 2012. [doi]

2009

Implicit Mass-matrix Penalization of Hamiltonian Dynamics with Application to Exact Sampling of Stiff SystemsPetr Plechác, Mathias Rousset. mmas, 8(2):498-539, 2009. [doi]

2007

Computation of free energy differences through nonequilibrium stochastic dynamics: The reaction coordinate caseTony Lelièvre, Mathias Rousset, Gabriel Stoltz. jcphy, 222(2):624-643, 2007. [doi]

2006

On the Control of an Interacting Particle Estimation of Schrödinger Ground StatesMathias Rousset. siamma, 38(3):824-844, 2006. [doi]

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