Louis Béthune

Publications

Communication dans un congrès (12)

Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models Louis Béthune,David Vigouroux,Yilun Du,Rufin VanRullen,Thomas Serreet al. Neurips, Dec 2025, San Diego CA, United States Communication dans un congrès hal-05396679v1
The Geometries of Truth Are Orthogonal Across Tasks Waïss Azizian,Michael Kirchhof,Eugene Ndiaye,Louis Bethune,Michal Kleinet al. ICML 2025 Workshop on Reliable and Responsible Foundation Models, Jul 2025, Vancouver (BC), Canada Communication dans un congrès hal-05567983v1
DP-SGD Without Clipping: The Lipschitz Neural Network Way Louis Béthune,Thomas Massena,Thibaut Boissin,Yannick Prudent,Corentin Friedrichet al. ICLR 2024 - 12th International Conference on Learning Representations, May 2024, Vienna (Austria), Austria Communication dans un congrès hal-04610647v1
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions David Vigouroux,Joseba Dalmau,Louis Béthune,Victor Boutin International Conference on Machine Learning, Jul 2025, Vancouver (Canada), Canada Communication dans un congrès hal-04446268v2
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation Thomas Fel,Victor Boutin,Mazda Moayeri,Rémi Cadène,Louis Bethuneet al. Conference on Neural Information Processing Systems (NeurIPS), 2023, Dec 2023, New Orleans (Louisiana), United States Communication dans un congrès hal-04391647v1
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks Louis Béthune,Paul Novello,Thibaut Boissin,Guillaume Coiffier,Mathieu Serrurieret al. 40th International Conference on Machine Learning, Jul 2023, Honolulu, Hawaii, United States. pp.2245-2271, ⟨10.5555/3618408.3618504⟩ Communication dans un congrès hal-03977272v2
Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning Thomas Mullor,David Vigouroux,Louis Béthune ACM/IEEE International Workshop on Quantum Computing @ 7th Symposium on Edge Computing (SEC 2022), Dec 2022, Seattle, United States. pp.436-443, ⟨10.1109/SEC54971.2022.00066⟩ Communication dans un congrès hal-03812297v2
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 Communication dans un congrès hal-03693355v3
CRAFT: Concept Recursive Activation FacTorization for Explainability Thomas Fel,Agustin Picard,Louis Bethune,Thibaut Boissin,David Vigourouxet al. Proceedings of the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023., 2023, Vancouver, Canada Communication dans un congrès hal-04049806v1
Xplique: A Deep Learning Explainability Toolbox Thomas Fel,Lucas Hervier,David Vigouroux,Antonin Poche,Justin Plakooet al. The Conference on Computer Vision and Pattern Recognition, Workshop: Explainable Artificial Intelligence for Computer Vision (XAI4CV), Jun 2022, Nouvelle-Orléans, United States Communication dans un congrès hal-03696248v1
Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks Louis Béthune,Thibaut Boissin,Mathieu Serrurier,Franck Mamalet,Corentin Friedrichet al. Advances in Neural Information Processing Systems, Nov 2022, New Orleans, United States. ⟨10.48550/arXiv.2104.05097⟩ Communication dans un congrès hal-03872080v1
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⟩ Communication dans un congrès hal-03981114v1

Thèse (1)

Deep learning with Lipschitz constraints Louis Béthune Artificial Intelligence [cs.AI]. Université de Toulouse, 2024. English. ⟨NNT : 2024TLSES014⟩ Thèse tel-04674274v1

Pré-publication, Document de travail (1)

GAN Estimation of Lipschitz Optimal Transport Maps Alberto González-Sanz,Lucas de Lara,Louis Béthune,Jean-Michel Loubes 2022 Pré-publication, Document de travail hal-03575178v1

Article dans une revue (2)

Predicting the Generalization Ability of a Few-Shot Classifier Myriam Bontonou,Louis Béthune,Vincent Gripon Information, 2021, 12 (1), pp.29. ⟨10.3390/info12010029⟩ Article dans une revue hal-03241656v1
Hierarchical and Unsupervised Graph Representation Learning with Loukas’s Coarsening Louis Béthune,Yacouba Kaloga,Pierre Borgnat,Aurélien Garivier,Amaury Habrard Algorithms, 2020, 13 (9), pp.206. ⟨10.3390/a13090206⟩ Article dans une revue hal-02955666v1