| Look at the variance! efficient black-box explanations with sobol-based sensitivity analysis T Fel, R Cadène, M Chalvidal, M Cord, D Vigouroux, T Serre Advances in neural information processing systems 34, 26005-26014, 2021 | 58 | 2021 |
| How good is your explanation? algorithmic stability measures to assess the quality of explanations for deep neural networks T Fel, D Vigouroux, R Cadène, T Serre Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 54* | 2022 |
| 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 | 42 | 2023 |
| Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis T Fel, M Ducoffe, D Vigouroux, R Cadène, M Capelle, C Nicodème, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 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 |
| Making sense of dependence: Efficient black-box explanations using dependence measure P Novello, T Fel, D Vigouroux Advances in Neural Information Processing Systems 35, 4344-4357, 2022 | 17 | 2022 |
| Object detection with probabilistic guarantees: A conformal prediction approach F De Grancey, JL Adam, L Alecu, S Gerchinovitz, F Mamalet, D Vigouroux International Conference on Computer Safety, Reliability, and Security, 316-329, 2022 | 10 | 2022 |
| 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 |
| Target marking device and target processing system comprising such a target marking device A Kotenkoff, D Vigouroux, A Vivares, O Hebert, A Durantin US Patent 10,234,252, 2019 | 4 | 2019 |
| Dp-sgd without clipping: The lipschitz neural network way L Béthune, T Masséna, T Boissin, Y Prudent, C Friedrich, F Mamalet, ... arXiv preprint arXiv:2305.16202, 2023 | 3 | 2023 |
| Object Detection With Probabilistic Guarantees F de Grancey, JL Adam, L Alecu, S Gerchinovitz, F Mamalet, D Vigouroux Fifth International Workshop on Artificial Intelligence Safety Engineering …, 2022 | 2 | 2022 |
| Deep Sturm–Liouville: Learnable orthogonal basis functions parameterized by neural networks D Vigouroux, J Dalmau, L Béthune | | 2024 |
| Influenciæ: A library for tracing the influence back to the data-points AM Picard, L Hervier, T Fel, D Vigouroux | | 2023 |
| Guidelines to explain machine learning algorithms F Boisnard, R Boumazouza, M Ducoffe, T Fel, E Glize, L Hervier, V Mussot, ... | | 2023 |
| PUNCC: a Python Library for Predictive Uncertainty Calibration and Conformalization M Mendil, L Mossina, D Vigouroux Conformal and Probabilistic Prediction with Applications, 582-601, 2023 | | 2023 |
| Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning T Mullor, D Vigouroux, L Bethune 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 436-443, 2022 | | 2022 |
| CRAFT: explaining using Concepts from Recursive Activation FacTorization FEL Thomas, AM Picard, L Béthune, T Boissin, J Colin, D Vigouroux, ... | | 2022 |
| Method and device for predicting optimum attack and defence solutions in a military conflict scenario R Fruit, D Vigouroux, S Le Menec, C Touchard, A Kotenkoff, M Formoso US Patent 11,276,324, 2022 | | 2022 |
| FUNN: Flexible Unsupervised Neural Network D Vigouroux, S Picard arXiv preprint arXiv:1811.01749, 2018 | | 2018 |
| Method and system for assisting in the verification and validation of an algorithm chain A Kotenkoff, D Vigouroux, A Vivares, O Hebert, C Perel US Patent 9,921,944, 2018 | | 2018 |
