Fel, Thomas

26 publications

ICML 2025 An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures Thibaut Boissin, Franck Mamalet, Thomas Fel, Agustin Martin Picard, Thomas Massena, Mathieu Serrurier

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

ICLRW 2025 Beyond Adversarial Robustness: Breaking the Robustness-Alignment Trade-Off in Object Recognition Pinyuan Feng, Drew Linsley, Thibaut Boissin, Alekh Karkada Ashok, Thomas Fel, Stephanie Olaiya, Thomas Serre

NeurIPS 2025 From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit Valérie Costa, Thomas Fel, Ekdeep Singh Lubana, Bahareh Tolooshams, Demba E. Ba

ICML 2025 One Wave to Explain Them All: A Unifying Perspective on Feature Attribution Gabriel Kasmi, Amandine Brunetto, Thomas Fel, Jayneel Parekh

NeurIPS 2025 Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry Sai Sumedh R. Hindupur, Ekdeep Singh Lubana, Thomas Fel, Demba E. Ba

ICLR 2025 Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet

ICML 2025 Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment Harrish Thasarathan, Julian Forsyth, Thomas Fel, Matthew Kowal, Konstantinos G. Derpanis

NeurIPS 2025 Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models Fenil R. Doshi, Thomas Fel, Talia Konkle, George A. Alvarez

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

ICLR 2024 On the Foundations of Shortcut Learning Katherine Hermann, Hossein Mobahi, Thomas Fel, Michael Curtis Mozer

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 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

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

CVPR 2023 Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikaël Capelle, Claire Nicodème, Thomas Serre

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

NeurIPS 2023 Performance-Optimized Deep Neural Networks Are Evolving into Worse Models of Inferotemporal Visual Cortex Drew Linsley, Ivan F Rodriguez Rodriguez, Thomas Fel, Michael Arcaro, Saloni Sharma, Margaret Livingstone, 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 Harmonizing the Object Recognition Strategies of Deep Neural Networks with Humans Thomas Fel, Ivan F Rodriguez Rodriguez, Drew Linsley, Thomas Serre

WACV 2022 How Good Is Your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks Thomas Fel, David Vigouroux, Rémi Cadène, Thomas Serre

NeurIPS 2022 Making Sense of Dependence: Efficient Black-Box Explanations Using Dependence Measure Paul Novello, Thomas Fel, David Vigouroux

NeurIPS 2022 What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods Julien Colin, Thomas Fel, Remi Cadene, Thomas Serre

NeurIPS 2021 Look at the Variance! Efficient Black-Box Explanations with Sobol-Based Sensitivity Analysis Thomas Fel, Remi Cadene, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre