| The dangers of post-hoc interpretability: Unjustified counterfactual explanations T Laugel, MJ Lesot, C Marsala, X Renard, M Detyniecki IJCAI'19: Proceedings of the 28th International Joint Conference on …, 2019 | 250 | 2019 |
| Comparison-based inverse classification for interpretability in machine learning T Laugel, MJ Lesot, C Marsala, X Renard, M Detyniecki Information Processing and Management of Uncertainty in Knowledge-Based …, 2018 | 250* | 2018 |
| Defining locality for surrogates in post-hoc interpretablity T Laugel, X Renard, MJ Lesot, C Marsala, M Detyniecki ICML 2018 Workshops: ICLM 2018 Workshop on Human Interpretability in Machine …, 2018 | 119 | 2018 |
| Imperceptible adversarial attacks on tabular data V Ballet, X Renard, J Aigrain, T Laugel, P Frossard, M Detyniecki NeurIPS 2019 Workshops: NeurIPS 2019 Workshop on Robust AI in Financial …, 2019 | 106 | 2019 |
| Issues with post-hoc counterfactual explanations: a discussion T Laugel, MJ Lesot, C Marsala, M Detyniecki ICML 2019 Workshops: ICML 2019 Workshop on Human In the Loop Learning (HILL), 2019 | 62 | 2019 |
| Unjustified classification regions and counterfactual explanations in machine learning T Laugel, MJ Lesot, C Marsala, X Renard, M Detyniecki ECML PKDD 2019, 37-54, 2020 | 33 | 2020 |
| How to choose an explainability method? Towards a methodical implementation of XAI in practice T Vermeire, T Laugel, X Renard, D Martens, M Detyniecki ECML-PKDD 2021 Workshop: XKDD, 521-533, 2021 | 23 | 2021 |
| Achieving diversity in counterfactual explanations: a review and discussion T Laugel, A Jeyasothy, MJ Lesot, C Marsala, M Detyniecki Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 17 | 2023 |
| When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness T Laugel, N Krco, V Grari, JM Loubes, M Detyniecki arXiv preprint arXiv:2302.07185, 2023 | 15* | 2023 |
| Understanding prediction discrepancies in classification X Renard, T Laugel, M Detyniecki Machine Learning 113 (10), 7997-8026, 2024 | 11* | 2024 |
| Integrating prior knowledge in post-hoc explanations A Jeyasothy, T Laugel, MJ Lesot, C Marsala, M Detyniecki International Conference on Information Processing and Management of …, 2022 | 11 | 2022 |
| Detecting potential local adversarial examples for human-interpretable defense X Renard, T Laugel, MJ Lesot, C Marsala, M Detyniecki ECML PKDD 2018 Workshops: Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe …, 2019 | 11 | 2019 |
| On the overlooked issue of defining explanation objectives for local-surrogate explainers R Poyiadzi, X Renard, T Laugel, R Santos-Rodriguez, M Detyniecki arXiv preprint arXiv:2106.05810, 2021 | 10 | 2021 |
| A general framework for personalising post hoc explanations through user knowledge integration A Jeyasothy, T Laugel, MJ Lesot, C Marsala, M Detyniecki International Journal of Approximate Reasoning 160, 108944, 2023 | 8 | 2023 |
| Understanding surrogate explanations: the interplay between complexity, fidelity and coverage R Poyiadzi, X Renard, T Laugel, R Santos-Rodriguez, M Detyniecki arXiv preprint arXiv:2107.04309, 2021 | 6 | 2021 |
| Knowledge Integration in XAI with Gödel Integrals A Jeyasothy, A Rico, MJ Lesot, C Marsala, T Laugel 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-6, 2023 | 4 | 2023 |
| Local post-hoc interpretability for black-box classifiers T Laugel Sorbonne Université, 2020 | 3* | 2020 |
| Why do explanations fail? A typology and discussion on failures in XAI C Bove, T Laugel, MJ Lesot, C Tijus, M Detyniecki arXiv preprint arXiv:2405.13474, 2024 | 2 | 2024 |
| On the Fairness ROAD: Robust Optimization for Adversarial Debiasing V Grari, T Laugel, T Hashimoto, S Lamprier, M Detyniecki ICLR 2024, 2024 | 2 | 2024 |
| Intégration de connaissances en XAI avec les intégrales de Gödel A Jeyasothy, A Rico, MJ Lesot, C Marsala, T Laugel Rencontres Francophones sur la Logique Floue et ses Applications (LFA), 2023 | 2 | 2023 |
Marcin Detyniecki, Ph.D.Head of R&D, @AXA + Associate researcher, @Sorbonne_Université, @CNRS, @Polish_Academy_of_ScienceVerified email at axa.com
