| 2025 | ECAI | Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with Respect to Skin Tone. | Veronika Shilova, Emmanuel Malherbe, Giovanni Palma, Laurent Risser, Jean-Michel Loubes |
| 2025 | ICML | On the Private Estimation of Smooth Transport Maps. | Clment Lalanne, Franck Iutzeler, Jean-Michel Loubes, Julien Chhor |
| 2023 | ACL | COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP. | Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher |
| 2023 | AISTATS | Gaussian Processes on Distributions based on Regularized Optimal Transport. | Franois Bachoc, Louis Bthune, Alberto Gonzlez-Sanz, Jean-Michel Loubes |
| 2023 | ICASSP | Counterfactual Explanation for Multivariate Times Series Using A Contrastive Variational Autoencoder. | William Todo, Merwann Selmani, Batrice Laurent, Jean-Michel Loubes |
| 2021 | CVPR | Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization. | Mathieu Serrurier, Franck Mamalet, Alberto Gonzlez-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio |
| 2019 | ICML | Obtaining Fairness using Optimal Transport Theory. | Paula Gordaliza, Eustasio del Barrio, Fabrice Gamboa, Jean-Michel Loubes |
| 2019 | PRICAI | Learning a Gaussian Process Model on the Riemannian Manifold of Non-decreasing Distribution Functions. | Chafik Samir, Jean-Michel Loubes, Anne-Franoise Yao, Franois Bachoc |