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Louis Béthune
Louis Béthune
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Title
Cited by
Cited by
Year
CRAFT: Concept Recursive Activation FacTorization for Explainability
T Fel, A Picard, L Bethune, T Boissin, D Vigouroux, J Colin, R Cadène, ...
IEEE / CVF Computer Vision and Pattern Recognition (CVPR 2023), 2023
412023
Pay attention to your loss: understanding misconceptions about lipschitz neural networks
L Béthune, T Boissin, M Serrurier, F Mamalet, C Friedrich, ...
Advances in Neural Information Processing Systems 35, 20077-20091, 2022
34*2022
Xplique: A deep learning explainability toolbox
T Fel, L Hervier, D Vigouroux, A Poche, J Plakoo, R Cadene, M Chalvidal, ...
arXiv preprint arXiv:2206.04394, 2022
202022
A holistic approach to unifying automatic concept extraction and concept importance estimation
T Fel, V Boutin, L Béthune, R Cadène, M Moayeri, L Andéol, M Chalvidal, ...
Advances in Neural Information Processing Systems 36, 2024
92024
Gaussian processes on distributions based on regularized optimal transport
F Bachoc, L Béthune, A Gonzalez-Sanz, JM Loubes
International Conference on Artificial Intelligence and Statistics, 4986-5010, 2023
92023
Predicting the generalization ability of a few-shot classifier
M Bontonou, L Béthune, V Gripon
Information 12 (1), 29, 2021
9*2021
Ranking deep learning generalization using label variation in latent geometry graphs
C Lassance, L Béthune, M Bontonou, M Hamidouche, V Gripon
arXiv preprint arXiv:2011.12737, 2020
82020
Hierarchical and unsupervised graph representation learning with loukas’s coarsening
L Béthune, Y Kaloga, P Borgnat, A Garivier, A Habrard
Algorithms 13 (9), 206, 2020
7*2020
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
M Serrurier, F Mamalet, T Fel, L Béthune, T Boissin
Advances in Neural Information Processing Systems 36, 2024
6*2024
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
Louis Bethune, Paul Novello, Thibaut Boissin, Guillaume Coiffier, Mathieu ...
International Conference on Machine Learning (ICML 2023), 2023
3*2023
DP-SGD Without Clipping: The Lipschitz Neural Network Way
L Béthune, T Masséna, T Boissin, Y Prudent, C Friedrich, F Mamalet, ...
International Conference on Learning Representations (ICLR 2024), 2024
22024
Gan estimation of lipschitz optimal transport maps
A González-Sanz, L De Lara, L Béthune, JM Loubes
arXiv preprint arXiv:2202.07965, 2022
22022
Certifiable Metric One Class Learning with adversarially trained Lipschitz Classifier
L Béthune, M Serrurier
NeurIPS ML Safety Workshop, 2022
12022
Deep Sturm–Liouville: Learnable orthogonal basis functions parameterized by neural networks
D Vigouroux, J Dalmau, L Béthune
2024
TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability
F Jourdan, L Béthune, A Picard, L Risser, N Asher
arXiv preprint arXiv:2312.06499, 2023
2023
Improved learning theory for kernel distribution regression with two-stage sampling
F Bachoc, L Béthune, A González-Sanz, JM Loubes
arXiv preprint arXiv:2308.14335, 2023
2023
Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning
T Mullor, D Vigouroux, L Bethune
2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 436-443, 2022
2022
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