( en | de | ru )

 

Disambiguation of "Rousset, Mathias"

Author of the publication

copydeleteadd this publication to your clipboard
Gradient-Informed Neural Network Statistical Robustness Estimation.

, , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 323-334. PMLR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Cédric Rousset

Mireille Rousset

Alban Rousset

Florian Rousset

Mathias Rafler

Gaussian loop- and Pólya processes: a point process approach. Uni Potsdam, (2009)
 

Other publications of authors with the same name

Probability in computational physics and biology: some mathematical contributions. (Probabilités en physique et biologie numérique: quelques contributions mathématiques).. (2014)Uncertainty of Atmospheric Motion Vectors by Sampling Tempered Posterior Distributions., , and . CoRR, (2022)Entropy minimizing distributions are worst-case optimal importance proposals., , and . CoRR, (2022)On the Control of an Interacting Particle Estimation of Schrödinger Ground States.. SIAM J. Math. Anal., 38 (3): 824-844 (2006)Hybrid Monte Carlo methods for sampling probability measures on submanifolds., , and . Numerische Mathematik, 143 (2): 379-421 (2019)Correction to: Hybrid Monte Carlo methods for sampling probability measures on submanifolds., , and . Numerische Mathematik, 144 (2): 447-449 (2020)Fluctuations of Rare Event Simulation with Monte Carlo Splitting in the Small Noise Asymptotics., , and . CoRR, (2022)On the Asymptotic Normality of Adaptive Multilevel Splitting., , , and . SIAM/ASA J. Uncertain. Quantification, 7 (1): 1-30 (2019)Gradient-Informed Neural Network Statistical Robustness Estimation., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 323-334. PMLR, (2023)Exact targeting of Gibbs distributions using velocity-jump processes., , and . CoRR, (2020)