Boutin, Victor

10 publications

ICML 2025 Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle
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
NeurIPS 2024 Latent Representation Matters: Human-like Sketches in One-Shot Drawing Tasks Victor Boutin, Rishav Mukherji, Aditya Agrawal, Sabine Muzellec, Thomas Fel, Thomas Serre, Rufin VanRullen
ICML 2024 Saliency Strikes Back: How Filtering Out High Frequencies Improves White-Box Explanations Sabine Muzellec, Thomas Fel, Victor Boutin, Léo Andéol, Rufin Vanrullen, Thomas Serre
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
ICML 2023 Diffusion Models as Artists: Are We Closing the Gap Between Humans and Machines? Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre
NeurIPS 2023 Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Remi Cadene, Lore Goetschalckx, Laurent Gardes, Thomas Serre
NeurIPS 2022 Diversity vs. Recognizability: Human-like Generalization in One-Shot Generative Models Victor Boutin, Lakshya Singhal, Xavier Thomas, Thomas Serre
NeurIPSW 2020 Iterative VAE as a Predictive Brain Model for Out-of-Distribution Generalization Victor Boutin, Aimen Zerroug, Minju Jung, Thomas Serre