Mamalet, Franck

9 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 2025 Hadamrnn: Binary and Sparse Ternary Orthogonal RNNs Armand Foucault, Francois Malgouyres, Franck Mamalet

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

JMLR 2022 Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks El Mehdi Achour, François Malgouyres, Franck Mamalet

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