| 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 | 18 | 2022 |
| Natural Example-Based Explainability: a Survey A Poché, L Hervier, MC Bakkay eXplainable Artificial Intelligence. 1st World Conference on eXplainable …, 2023 | 2 | 2023 |
| Guidelines to explain machine learning algorithms F Boisnard, R Boumazouza, M Ducoffe, T Fel, E Glize, L Hervier, V Mussot, ... | | 2023 |
| Confiance. ai Days 2022. Booklet of articles & posters P Aknin, B Braunschweig, L Cantat, F Chamroukhi, G Hebrail, F Jurie, ... | | 2023 |
| Post-modelling Explainability for Deep Reinforcement Learning ALL Poche Politecnico di Torino, 2021 | | 2021 |
| Thomas Fel1, 3, 4 Lucas Hervier2 David Vigouroux2 Antonin Poche2 Justin Plakoo2 Remi Cadene3 Mathieu Chalvidal1, 3 Julien Colin1, 3 Thibaut Boissin1, 2 Louis Bethune1 Agustin … D Vigouroux, A Poche, J Plakoo, R Cadene, M Chalvidal, J Colin, ... | | |
