| What i cannot predict, i do not understand: A human-centered evaluation framework for explainability methods J Colin, T Fel, R Cadène, T Serre Advances in neural information processing systems 35, 2832-2845, 2022 | 64 | 2022 |
| CRAFT: Concept Recursive Activation FacTorization for Explainability T Fel, A Picard, L Bethune, T Boissin, D Vigouroux, J Colin, R Cadène, ... CVPR 2023, Advances in Computer Vision and Pattern Recognition, 2022 | 45 | 2022 |
| A benchmark for compositional visual reasoning A Zerroug, M Vaishnav, J Colin, S Musslick, T Serre NeurIPS 2022 Datasets and Benchmarks, 2022 | 19 | 2022 |
| Xplique: A Deep Learning Explainability Toolbox T Fel, L Hervier, D Vigouroux, A Poche, J Plakoo, R Cadene, M Chalvidal, ... CVPR 2022, Workshop on Explainable Artificial Intelligence for Computer …, 2022 | 19 | 2022 |
| Unlocking feature visualization for deep network with MAgnitude constrained optimization T Fel, T Boissin, V Boutin, A Picard, P Novello, J Colin, D Linsley, ... Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines? V Boutin, T Fel, L Singhal, R Mukherji, A Nagaraj, J Colin, T Serre ICML 2023, Proceedings of the International Conference on Machine Learning, 2023 | 4 | 2023 |
Thomas SerreProfessor, Brown University and ANR-3IA Artificial and Natural Intelligence Toulouse InstituteVerified email at brown.edu
