Mathias Rousset

According to our database1, Mathias Rousset authored at least 14 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Gradient-Informed Neural Network Statistical Robustness Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Fluctuations of Rare Event Simulation with Monte Carlo Splitting in the Small Noise Asymptotics.
CoRR, 2022

Entropy minimizing distributions are worst-case optimal importance proposals.
CoRR, 2022

Uncertainty of Atmospheric Motion Vectors by Sampling Tempered Posterior Distributions.
CoRR, 2022

2021
Efficient Statistical Assessment of Neural Network Corruption Robustness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Correction to: Hybrid Monte Carlo methods for sampling probability measures on submanifolds.
Numerische Mathematik, 2020

Exact targeting of Gibbs distributions using velocity-jump processes.
CoRR, 2020

2019
Hybrid Monte Carlo methods for sampling probability measures on submanifolds.
Numerische Mathematik, 2019

On the Asymptotic Normality of Adaptive Multilevel Splitting.
SIAM/ASA J. Uncertain. Quantification, 2019

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

2012
Langevin dynamics with constraints and computation of free energy differences.
Math. Comput., 2012

2009
Implicit Mass-matrix Penalization of Hamiltonian Dynamics with Application to Exact Sampling of Stiff Systems.
Multiscale Model. Simul., 2009

2007
Computation of free energy differences through nonequilibrium stochastic dynamics: The reaction coordinate case.
J. Comput. Phys., 2007

2006
On the Control of an Interacting Particle Estimation of Schrödinger Ground States.
SIAM J. Math. Anal., 2006


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