Béthune, Louis

18 publications

AISTATS 2025 Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo James Thornton, Louis Béthune, Ruixiang Zhang, Arwen Bradley, Preetum Nakkiran, Shuangfei Zhai

ICML 2025 Deep Sturm–Liouville: From Sample-Based to 1d Regularization with Learnable Orthogonal Basis Functions David Vigouroux, Joseba Dalmau, Louis Béthune, Victor Boutin

NeurIPS 2025 Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models Louis Béthune, David Vigouroux, Yilun Du, Rufin VanRullen, Thomas Serre, Victor Boutin

CVPR 2025 Multimodal Autoregressive Pre-Training of Large Vision Encoders Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor G. Turrisi da Costa, Louis Béthune, Zhe Gan, Alexander Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua Susskind, Alaaeldin El-Nouby

NeurIPS 2025 Sample and mAP from a Single Convex Potential: Generation Using Conjugate Moment Measures Nina Vesseron, Louis Béthune, Marco Cuturi

ICML 2025 Scaling Laws for Forgetting During Finetuning with Pretraining Data Injection Louis Béthune, David Grangier, Dan Busbridge, Eleonora Gualdoni, Marco Cuturi, Pierre Ablin

NeurIPS 2025 Scaling Laws for Optimal Data Mixtures Mustafa Shukor, Louis Béthune, Dan Busbridge, David Grangier, Enrico Fini, Alaaeldin El-Nouby, Pierre Ablin

ICML 2025 Shielded Diffusion: Generating Novel and Diverse Images Using Sparse Repellency Michael Kirchhof, James Thornton, Louis Béthune, Pierre Ablin, Eugene Ndiaye, Marco Cuturi

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 2024 Understanding Visual Feature Reliance Through the Lens of Complexity Thomas Fel, Louis Béthune, Andrew Kyle Lampinen, Thomas Serre, Katherine Hermann

NeurIPS 2023 A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation Thomas Fel, Victor Boutin, Louis Béthune, Remi Cadene, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre

CVPR 2023 CRAFT: Concept Recursive Activation FacTorization for Explainability Thomas Fel, Agustin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre

AISTATS 2023 Gaussian Processes on Distributions Based on Regularized Optimal Transport François Bachoc, Louis Béthune, Alberto Gonzalez-Sanz, Jean-Michel Loubes

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