| S-LIME: Reconciling Locality and Fidelity in Linear Explanations R Gaudel, L Galárraga, J Delaunay, L Rozé, V Bhargava | 19* | |
| Improving Anchor-based Explanations J Delaunay, L Galárraga, C Largouët Proceedings of the 29th ACM International Conference on Information …, 2020 | 13 | 2020 |
| When Should We Use Linear Explanations? J Delaunay, L Galárraga, C Largouët Proceedings of the 31st ACM International Conference on Information …, 2022 | 5 | 2022 |
| Adaptation of AI Explanations to Users' Roles J Delaunay, L Galárraga, C Largouët, N van Berkel Adjunct Proceedings of the ACM SIGCHI Conference on Human Factors in …, 2023 | 3 | 2023 |
| REMI: Mining Intuitive Referring Expressions on Knowledge Bases L Galárraga, J Delaunay, JL Dessalles arXiv preprint arXiv:1911.01157, 2019 | 2 | 2019 |
| " Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative Generation A Chaffin, J Delaunay arXiv preprint arXiv:2310.18063, 2023 | 1* | 2023 |
| On Moral Manifestations in Large Language Models J Wester, J Delaunay, S de Jong, N van Berkel CHI’23: ACM CHI Conference on Human Factors in Computing Systems@ Workshop …, 2023 | 1 | 2023 |
| Does It Make Sense to Explain a Black Box With Another Black Box? J Delaunay, L Galárraga, C Largouët arXiv preprint arXiv:2404.14943, 2024 | | 2024 |
| Expliquer une boîte noire sans boîte noire J Delaunay, L Galárraga, C Largouët Revue TAL: traitement automatique des langues 64 (3/2023), 93-117, 2024 | | 2024 |
| Explainability for Machine Learning Models: From Data Adaptability to User Perception J Delaunay Université de Rennes (2023-....), 2023 | | 2023 |
| S-LIME: reconcilier localité et fidélité des explications linéaires R Gaudel, L Galárraga, J Delaunay, L Roze, V Bhargava CAP-RFIAP 2022-Conférence française sur l'apprentissage machine …, 2022 | | 2022 |
Luis GalárragaINRIA RennesVerified email at luisgalarraga.de
