Multiclass Minimax Learning for Deep Neural Networks. - Cyprien Gilet; Marie Guyomard; Susana Barbosa; Lionel Fillatre (EUSIPCO, 2023)

Understandable Relu Neural Network For Signal Classification. - Marie Guyomard; Susana Barbosa; Lionel Fillatre (ICASSP, 2023)

Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network. - Marie Guyomard; Susana Barbosa; Lionel Fillatre (ICML, 2023)

Explainable neural kernel logistic regression: application to precision medicine. (Régression logistique à noyau neural explicable: application à la médecine de précision). - Marie Guyomard (2023)

Encoding breast cancer patients' medical pathways from reimbursement data using representation learning: a benchmark for clustering tasks. - Marie Guyomard; Anne-Déborah Bouhnik; Louis Tassy; Raquel Ureña (CBMS, 2024)

Softmin discrete minimax classifier for imbalanced classes and prior probability shifts. - Cyprien Gilet; Marie Guyomard; Sébastien Destercke; Lionel Fillatre (Mach. Learn., 2024)