output
20082025
most citedLarge deviations for the Boussinesq Equations under Random Influences

132 citations

40 papers

stat.ML2025

Fairness Meets Privacy: Integrating Differential Privacy and Demographic Parity in Multi-class Classification

Lilian Say, Christophe Denis, Rafael Pinot

The increasing use of machine learning in sensitive applications demands algorithms that simultaneously preserve data privacy and ensure fairness across potentially sensitive sub-p…

math.PR2025

Weak conditional propagation of chaos for systems of interacting particles with nearly stable jumps

Eva Löcherbach, Dasha Loukianova, Elisa Marini

We consider a system of interacting particles, described by SDEs driven by Poisson random measures, where the coefficients depend on the empirical measure of the system. Every…

stat.ML2025

Set to Be Fair: Demographic Parity Constraints for Set-Valued Classification

Eyal Cohen, Christophe Denis, Mohamed Hebiri

Set-valued classification is used in multiclass settings where confusion between classes can occur and lead to misleading predictions. However, its application may amplify discrimi…

cs.LG2025

Representation learning with a transformer by contrastive learning for money laundering detection

Harold Guéneau, Alain Celisse, Pascal Delange

The present work tackles the money laundering detection problem. A new procedure is introduced which exploits structured time series of both qualitative and quantitative data by me…

stat.ML2025

Empirical risk minimization algorithm for multiclass classification of S.D.E. paths

Christophe Denis, Eddy Ella Mintsa

We address the multiclass classification problem for stochastic diffusion paths, assuming that the classes are distinguished by their drift functions, while the diffusion coefficie…

math.AP2025

New invariant surface measures for the cubic Schrödinger equation

Jean-Baptiste Casteras, Ana Bela Cruzeiro, Annie Millet

We construct new invariant measures supported on mass level sets for the cubic defocusing nonlinear Schrödinger equation in dimensions and .