Serrurier, Mathieu

14 publications

ICML 2025 An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures Thibaut Boissin, Franck Mamalet, Thomas Fel, Agustin Martin Picard, Thomas Massena, Mathieu Serrurier

ICML 2025 Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks Thomas Massena, Léo Andéol, Thibaut Boissin, Franck Mamalet, Corentin Friedrich, Mathieu Serrurier, Sébastien Gerchinovitz

ICLR 2024 DP-SGD Without Clipping: The Lipschitz Neural Network Way Louis Béthune, Thomas Massena, Thibaut Boissin, Aurélien Bellet, Franck Mamalet, Yannick Prudent, Corentin Friedrich, Mathieu Serrurier, David Vigouroux

NeurIPS 2023 On the Explainable Properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin

NeurIPSW 2023 On the Explainable Properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin

ICML 2023 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

NeurIPSW 2022 Certifiable Metric One Class Learning with Adversarially Trained Lipschitz Classifier Louis Béthune, Mathieu Serrurier

NeurIPS 2022 Pay Attention to Your Loss : Understanding Misconceptions About Lipschitz Neural Networks Louis Béthune, Thibaut Boissin, Mathieu Serrurier, Franck Mamalet, Corentin Friedrich, Alberto Gonzalez Sanz

CVPR 2021 Achieving Robustness in Classification Using Optimal Transport with Hinge Regularization Mathieu Serrurier, Franck Mamalet, Alberto Gonzalez-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio

ECCV 2020 Learning Disentangled Representations via Mutual Information Estimation Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner

ECML-PKDD 2020 Mutual Information Measure for Image Segmentation Using Few Labels Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner

ECML-PKDD 2019 Learning Disentangled Representations of Satellite Image Time Series Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner

ICML 2015 Entropy Evaluation Based on Confidence Intervals of Frequency Estimates : Application to the Learning of Decision Trees Mathieu Serrurier, Henri Prade

IJCAI 2005 Coping with Exceptions in Multiclass ILP Problems Using Possibilistic Logic Mathieu Serrurier, Henri Prade