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20222026
most citedLaw of large numbers and central limit theorem for wide two-layer neural networks: the mini-batch and noisy case

2 citations · 3 across the 9 of their papers we have counts for

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math.PR2025

Quasi-stationarity of the Dyson Brownian motion with collisions

Arnaud Guillin, Boris Nectoux, Liming Wu

In this work, we investigate the ergodic behavior of a system of particules, subject to collisions, before it exits a fixed subdomain of its state space. This system is composed of…

math.PR2024★ 1 cited

Large deviations of the empirical measures of a strong-Feller Markov process inside a subset and quasi-ergodic distribution

Arnaud Guillin, Boris Nectoux, Liming Wu

In this work, we establish, for a strong Feller process, the large deviation principle for the occupation measure conditioned not to exit a given subregion. The rate function vanis…

math.PR2024

Long time behavior of killed Feynman-Kac semigroups with singular Schr{ö}dinger potentials

Arnaud Guillin, D I Lu, Boris Nectoux +1

In this work, we investigate the compactness and the long time behavior of killed Feynman-Kac semigroups of various processes arising from statistical physics with very general sin…

math.PR2024

Generalized Langevin And Nos{é}-hoover Processes Absorbed At The Boundary Of A Metastable Domain

Arnaud Guillin, D I Lu, Boris Nectoux +1

In this paper, we prove in a very weak regularity setting existence and uniqueness of quasi-stationary distributions as well as exponential conver- gence towards the quasi-stationa…

math.PR2023

Recent advances in the long-time analysis of killed degenerate processes and their particle approximation

Bertrand Cloez, Lucas Journel, Pierre Monmarché +2

We review some recent results of quantitative long-time convergence for the law of a killed Markov process conditioned to survival toward a quasi-stationary distribution, and on th…

math.PR2022★ 2 cited

Law of large numbers and central limit theorem for wide two-layer neural networks: the mini-batch and noisy case

Arnaud Descours, Arnaud Guillin, Manon Michel +1

In this work, we consider a wide two-layer neural network and study the behavior of its empirical weights under a dynamics set by a stochastic gradient descent along the quadratic…