Using Wasserstein-2 regularization to ensure fair decisions with Neural-Network classifiers. - Laurent Risser; Quentin Vincenot; Nicolas P. Couellan; Jean-Michel Loubes (CoRR, 2019)

Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization. - Laurent Risser; Alberto González-Sanz; Quentin Vincenot; Jean-Michel Loubes (J. Math. Imaging Vis., 2022)

Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks. - Louis Béthune; Paul Novello; Guillaume Coiffier; Thibaut Boissin; Mathieu Serrurier; Quentin Vincenot; Andres Troya-Galvis (ICML, 2023)