| Mar 27, 2026 | 📄 Our paper ReBaPL: Repulsive Bayesian Prompt Learning was accepted at CVPR 2026. |
| Aug 01, 2025 | 🚀 Started a new role as AI Researcher at Sigma Nova, working on the fine-tuning and adaptation of large pre-trained foundation models. |
| May 01, 2025 | 📄 Optimal Transport for Domain Adaptation through Gaussian Mixture Models is now published in Transactions on Machine Learning Research (TMLR). |
| Apr 01, 2025 | 📄 Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport accepted at Transactions on Machine Learning Research (TMLR). |
| Mar 15, 2025 | 📄 Two papers accepted at Geometric Science of Information (GSI) 2025: KD²M: A Unifying Framework for Feature Knowledge Distillation and A Dimensionality Reduction Technique Based on the Gromov-Wasserstein Distance. |
| Sep 30, 2024 | 🎓 Defended my PhD thesis Multi-Source Domain Adaptation through Wasserstein Barycenters at Université Paris-Saclay (CEA-List). Director: Antoine Souloumiac. Advisor: Fred Maurice Ngolè Mboula. |
| Sep 09, 2024 | 📄 Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal Transport accepted at ECML-PKDD 2024. Code at github.com/eddardd/gmm_msda. |
| Apr 01, 2024 | 📄 Our survey Recent Advances in Optimal Transport for Machine Learning is published in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). |
| Sep 30, 2023 | 📄 Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space (DaDiL) accepted at ECAI 2023. |