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Louis Béthune



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DP-SGD Without Clipping: The Lipschitz Neural Network Way

Louis Béthune , Thomas Masséna , Thibaut Boissin , Corentin Friedrich , Franck Mamalet
International Conference on Learning Representations (ICLR), May 2024, Vienna, Austria
Conference papers hal-04130913v1
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Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks

Louis Béthune , Paul Novello , Thibaut Boissin , Guillaume Coiffier , Mathieu Serrurier
40th International Conference on Machine Learning, Jul 2023, Honolulu, Hawaii, United States. pp.2245-2271, ⟨10.5555/3618408.3618504⟩
Conference papers hal-03977272v2
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CRAFT: Concept Recursive Activation FacTorization for Explainability

Thomas Fel , Agustin Picard , Louis Bethune , Thibaut Boissin , David Vigouroux
Proceedings of the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023., 2023, Vancouver, Canada
Conference papers hal-04049806v1

Gaussian Processes on Distributions based on Regularized Optimal Transport

François Bachoc , Louis Béthune , Alberto González-Sanz , Jean-Michel Loubes
26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), Apr 2023, Valencia, Spain. ⟨10.48550/arXiv.2210.06574⟩
Conference papers hal-03981114v1
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On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective

Mathieu Serrurier , Franck Mamalet , Thomas Fel , Louis Béthune , Thibaut Boissin
Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, Dec 2023, New Orleans (Louisiana), United States
Conference papers hal-03693355v3
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Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning

Thomas Mullor , David Vigouroux , Louis Bethune
ACM/IEEE International Workshop on Quantum Computing, Dec 2022, Seattle, United States
Conference papers hal-03812297v2

Xplique: A Deep Learning Explainability Toolbox

Thomas Fel , Lucas Hervier , David Vigouroux , Antonin Poche , Justin Plakoo
The Conference on Computer Vision and Pattern Recognition, Workshop: Explainable Artificial Intelligence for Computer Vision (XAI4CV), Jun 2022, Nouvelle-Orléans, United States
Conference papers hal-03696248v1

Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks

Louis Béthune , Thibaut Boissin , Mathieu Serrurier , Franck Mamalet , Corentin Friedrich
Advances in Neural Information Processing Systems, Nov 2022, New Orleans, United States. ⟨10.48550/arXiv.2104.05097⟩
Conference papers hal-03872080v1