| Fairness-Aware Neural Rényi Minimization for Continuous Features V Grari, S Lamprier, M Detyniecki IJCAI 2020: International Joint Conferences on Artificial Intelligence …, 2020 | 60 | 2020 |
| Fair adversarial gradient tree boosting V Grari, B Ruf, S Lamprier, M Detyniecki 2019 IEEE International Conference on Data Mining (ICDM), 1060-1065, 2019 | 39 | 2019 |
| Fairness without the sensitive attribute via Causal Variational Autoencoder V Grari, S Lamprier, M Detyniecki IJCAI 2022: International Joint Conferences on Artificial Intelligence …, 2022 | 37 | 2022 |
| Adversarial learning for counterfactual fairness V Grari, S Lamprier, M Detyniecki Machine Learning Journal, 2023 | 30 | 2023 |
| Achieving Fairness with Decision Trees: An Adversarial Approach V Grari, B Ruf, S Lamprier, M Detyniecki Data Science and Engineering 110 (2), 99--110, 2020 | 27 | 2020 |
| A fair pricing model via adversarial learning V Grari, A Charpentier, S Lamprier, M Detyniecki arXiv preprint arXiv:2202.12008, 2022 | 22 | 2022 |
| Learning unbiased representations via rényi minimization V Grari, OE Hajouji, S Lamprier, M Detyniecki Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 22 | 2021 |
| When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness N Krco, T Laugel, V Grari, JM Loubes, M Detyniecki arXiv preprint arXiv:2302.07185, 2023 | 16* | 2023 |
| Joint modeling of claim frequencies and behavioral signals in motor insurance A Corradin, M Denuit, M Detyniecki, V Grari, M Sammarco, J Trufin ASTIN Bulletin: The Journal of the IAA 52 (1), 33-54, 2022 | 10 | 2022 |
| On the Fairness ROAD: Robust Optimization for Adversarial Debiasing V Grari, T Laugel, T Hashimoto, S Lamprier, M Detyniecki The Twelfth International Conference on Learning Representations, 2024, 2024 | 4 | 2024 |
| Adversarial mitigation to reduce unwanted biases in machine learning V Grari Sorbonne Université, 2022 | 2 | 2022 |
| Impact des données exogènes sur la tarification en santé V GRARI Mémoire d’Actuariat, 2015 | 2 | 2015 |
| Post-processing fairness with minimal changes F Di Gennaro, T Laugel, V Grari, X Renard, M Detyniecki ICML 2024 Workshop on Humans, Algorithmic Decision-Making and Society:, 2024 | 1 | 2024 |
| OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning V Grari, M Detyniecki arXiv preprint arXiv:2404.10275, 2024 | 1 | 2024 |
| Enforcing Individual Fairness via Rényi Variational Inference V Grari, O El Hajouji, S Lamprier, M Detyniecki Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 1 | 2021 |
| SAKE: Steering Activations for Knowledge Editing M Scialanga, T Laugel, V Grari, M Detyniecki arXiv preprint arXiv:2503.01751, 2025 | | 2025 |
| Controlled Model Debiasing through Minimal and Interpretable Updates F Di Gennaro, T Laugel, V Grari, M Detyniecki arXiv preprint arXiv:2502.21284, 2025 | | 2025 |
Marcin Detyniecki, Ph.D.Head of R&D, @AXA + Associate researcher, @Sorbonne_Université, @CNRS, @Polish_Academy_of_ScienceVerified email at axa.com
