| What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods T Fel, J Colin, R Cadène, T Serre NeurIPS 2022, Advances in Neural Information Processing Systems, 2021 | 96 | 2021 |
| Craft: Concept recursive activation factorization for explainability T Fel, A Picard, L Bethune, T Boissin, D Vigouroux, J Colin, R Cadène, ... CVPR 2023, Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2023 | 77 | 2023 |
| Harmonizing the object recognition strategies of deep neural networks with humans T Fel, I Felipe, D Linsley, T Serre NeurIPS 2022, Advances in Neural Information Processing Systems, 2022 | 70 | 2022 |
| Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis T Fel, R Cadene, M Chalvidal, M Cord, D Vigouroux, T Serre NeurIPS 2021, Advances in Neural Information Processing Systems, 2021 | 69 | 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 WACV 2022, Proceedings of the IEEE/CVF Winter Conference on Applications of …, 2022 | 67* | 2022 |
| 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, ... CVPR 2023, Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2022 | 37 | 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 | 34 | 2022 |
| A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation T Fel, V Boutin, M Moayeri, R Cadène, L Bethune, M Chalvidal, T Serre NeurIPS 2023, Advances in Neural Information Processing Systems, 2023 | 25 | 2023 |
| Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure P Novello, T Fel, D Vigouroux NeurIPS 2022, Advances in Neural Information Processing Systems, 2022 | 24 | 2022 |
| On the Foundations of Shortcut Learning KL Hermann, H Mobahi, T Fel, MC Mozer ICLR 2024, International Conference on Learning Representations, 2023 | 20 | 2023 |
| Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex D Linsley, IF Rodriguez, T Fel, M Arcaro, S Sharma, M Livingstone, ... NeurIPS 2023, Advances in Neural Information Processing Systems, 2023 | 15 | 2023 |
| On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective M Serrurier, F Mamalet, T Fel, L Béthune, T Boissin NeurIPS 2023, Advances in Neural Information Processing Systems, 2023 | 14* | 2023 |
| Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization T Fel, T Boissin, V Boutin, A Picard, P Novello, J Colin, D Linsley, ... NeurIPS 2023, Advances in Neural Information Processing Systems, 2023 | 10 | 2023 |
| 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 | 10 | 2023 |
| 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 ACL 2023, Proceedings of the Annual Meeting of the Association for …, 2023 | 9 | 2023 |
| Can we reconcile safety objectives with machine learning performances? L Alecu, H Bonnin, T Fel, L Gardes, S Gerchinovitz, L Ponsolle, F Mamalet, ... ERTS 2022, 2022 | 9 | 2022 |
| Influenciæ: A library for tracing the influence back to the data-points A Picard, L Hervier, T Fel, D Vigouroux World Conference on Explainable Artificial Intelligence, 193-204, 2024 | 7 | 2024 |
| Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception D Linsley, P Feng, T Boissin, AK Ashok, T Fel, S Olaiya, T Serre arXiv preprint arXiv:2306.03229, 2023 | 4 | 2023 |
| Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling L Andéol, T Fel, F De Grancey, L Mossina Conformal and Probabilistic Prediction with Applications, 36-55, 2023 | 3 | 2023 |
| Conviformers: Convolutionally guided vision transformer M Vaishnav, T Fel, IF Rodríguez, T Serre arXiv preprint arXiv:2208.08900, 2022 | 3 | 2022 |
Thomas SerreProfessor, Brown University and ANR-3IA Artificial and Natural Intelligence Toulouse InstituteBestätigte E-Mail-Adresse bei brown.edu
