| Craft: Concept recursive activation factorization for explainability T Fel, A Picard, L Bethune, T Boissin, D Vigouroux, J Colin, R Cadène, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 41 | 2023 |
| 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 |
| Quantifying truncation-related uncertainties in unsteady fluid dynamics reduced order models V Resseguier, AM Picard, E Memin, B Chapron SIAM/ASA Journal on Uncertainty Quantification 9 (3), 1152-1183, 2021 | 14 | 2021 |
| COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks F Jourdan, A Picard, T Fel, L Risser, JM Loubes, N Asher arXiv preprint arXiv:2305.06754, 2023 | 6 | 2023 |
| 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 | 5 | 2024 |
| Leveraging influence functions for dataset exploration and cleaning AM Picard, D Vigouroux, P Zamolodtchikov, Q Vincenot, JM Loubes, ... 11th European Congress Embedded Real Time Systems (ERTS 2022), 1-8, 2022 | 5 | 2022 |
| A survey of identification and mitigation of machine learning algorithmic biases in image analysis L Risser, A Picard, L Hervier, JM Loubes arXiv preprint arXiv:2210.04491, 2022 | 4 | 2022 |
| Stochastic closure for partially-resolved turbulence V Resseguier, C Caville, M Talla, A Moneyron, G Lepape, AM Picard, ... Houches 2024-Complex Systems, Statistical Mechanics and Machine Learning …, 2024 | | 2024 |
| TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability F Jourdan, L Béthune, A Picard, L Risser, N Asher arXiv preprint arXiv:2312.06499, 2023 | | 2023 |
| Influenciæ: A library for tracing the influence back to the data-points AM Picard, L Hervier, T Fel, D Vigouroux | | 2023 |
| Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning L Risser, AM Picard, L Hervier, JM Loubes Algorithms 16 (11), 510, 2023 | | 2023 |
| Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization FEL Thomas, T Boissin, V Boutin, AM Picard, P Novello, J Colin, D Linsley, ... Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |
| Guidelines to explain machine learning algorithms F Boisnard, R Boumazouza, M Ducoffe, T Fel, E Glize, L Hervier, V Mussot, ... | | 2023 |
| RESOLUTION-AWARE PRIOR GENERATION FOR REDUCED DATA ASSIMILATION IN FLUID DYNAMICS V Resseguier, AM Picard, M Ladvig, G Le Pape, A Moneyron, P Jacquet, ... 7th ECCOMAS (European Congress on Computational Methods in Applied Sciences …, 2023 | | 2023 |
| Estimation of multiplicative noise operator statistics for reduced data assimilation in fluid mechanics V Resseguier, M Ladvig, AM Picard, D Heitz Dynstoch 2023-Workshop on Statistical Methods for Dynamical Stochastic Models, 2023 | | 2023 |
| CRAFT: explaining using Concepts from Recursive Activation FacTorization FEL Thomas, AM Picard, L Béthune, T Boissin, J Colin, D Vigouroux, ... | | 2022 |
| Stochastic reduced order models for Bayesian estimation problems in fluid mechanics P Jacquet, A Moneyron, G Lepape, M Ladvig, AM Picard, V Resseguier, ... Model Reduction and Surrogate Modeling (MORE), 2022 | | 2022 |
| New reduced order models for real-time data assimilation using few sensors A Moneyron, P Jacquet, G Lepape, M Ladvig, AM Picard, V Resseguier, ... 14th European Fluid Mechanics Conference (EFMC14), 2022 | | 2022 |
| Conservative stochastic reduced order models for real-time fluid flow data assimilation G Le Pape, AM Picard, M Ladvig, V Resseguier, D Heitz, L Bessard ECCOMAS 2022, 2022 | | 2022 |
| Fast Generation of prior for Bayesian estimation problems in fluid mechanics V Resseguier, AM Picard, M Ladvig, D Heitz UQsay Uncertainty Quantification (UQ),, 2022 | | 2022 |
Thomas FelBrown University, ANITI - Artificial and Natural Intelligence Toulouse InstituteAdresse e-mail validée de brown.edu
