collaborators

6 papers

math.AP2026

A spectral approach to the narrow escape problem in two-dimensional domains

Louis Carillo, Tony Lelièvre, Thomas Normand +1

We study the law of the exit time and exit point of a Brownian motion in a two-dimensional domain with reflecting boundary conditions, except on small disjoint exit windows through…

math.AP2026

The narrow escape problem in arbitrary dimension

Louis Carillo, Tony Lelièvre, Thomas Normand +2

The narrow escape problem is a prototypical example for studying entropic metastability, motivated by the analysis of biological and chemical systems. The problem concerns the dete…

math.PR2026

Uniform-in-time propagation of chaos for Consensus-Based Optimization

Nicolai Gerber, Franca Hoffmann, Dohyeon Kim +1

We study the derivative-free global optimization algorithm Consensus-Based Optimization (CBO), establishing uniform-in-time propagation of chaos as well as an almost uniform-in-tim…

math.PR2025

Uniform-in-time propagation of chaos for the Cucker--Smale model

Nicolai Jurek Gerber, Urbain Vaes

This paper presents an elementary proof of quantitative uniform-in-time propagation of chaos for the Cucker--Smale model under sufficiently strong interaction. The idea is to combi…

math.NA2025

Dynamical reweighting for estimation of fluctuation formulas

Raphaël Gastaldello, Gabriel Stoltz, Urbain Vaes

We propose a variance reduction method for calculating transport coefficients in molecular dynamics using an importance sampling method via Girsanov's theorem applied to Green--Kub…

math.PR2025

Mean-field limits for Consensus-Based Optimization and Sampling

Nicolai Jurek Gerber, Franca Hoffmann, Urbain Vaes

For algorithms based on interacting particle systems that admit a mean-field description, convergence analysis is often more accessible at the mean-field level. In order to transfe…