| Interpolating between optimal transport and mmd using sinkhorn divergences J Feydy, T Séjourné, FX Vialard, S Amari, A Trouvé, G Peyré The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 433 | 2019 |
| Kernel operations on the gpu, with autodiff, without memory overflows B Charlier, J Feydy, JA Glaunes, FD Collin, G Durif The Journal of Machine Learning Research 22 (1), 3457-3462, 2021 | 154 | 2021 |
| Optimal transport for diffeomorphic registration J Feydy, B Charlier, FX Vialard, G Peyré Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 96 | 2017 |
| Fast end-to-end learning on protein surfaces F Sverrisson, J Feydy, BE Correia, MM Bronstein Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 90 | 2021 |
| Sinkhorn divergences for unbalanced optimal transport T Séjourné, J Feydy, FX Vialard, A Trouvé, G Peyré arXiv preprint arXiv:1910.12958, 2019 | 56 | 2019 |
| Geometric data analysis, beyond convolutions J Feydy Université Paris-Saclay, 2020 | 54* | 2020 |
| Artificial intelligence in diagnostic and interventional radiology: Where are we now? T Boeken, J Feydy, A Lecler, P Soyer, A Feydy, M Barat, L Duron Diagnostic and Interventional Imaging, 2022 | 33 | 2022 |
| Accurate point cloud registration with robust optimal transport Z Shen, J Feydy, P Liu, AH Curiale, R San Jose Estepar, ... Advances in Neural Information Processing Systems 34, 5373-5389, 2021 | 30 | 2021 |
| Fast geometric learning with symbolic matrices J Feydy, A Glaunès, B Charlier, M Bronstein Advances in Neural Information Processing Systems 33, 14448-14462, 2020 | 30 | 2020 |
| Fast and scalable optimal transport for brain tractograms J Feydy, P Roussillon, A Trouvé, P Gori Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 25 | 2019 |
| Artificial intelligence in musculoskeletal oncology imaging: a critical review of current applications M Lacroix, T Aouad, J Feydy, D Biau, F Larousserie, L Fournier, A Feydy Diagnostic and interventional imaging 104 (1), 18-23, 2023 | 13 | 2023 |
| Physics-informed deep neural network for rigid-body protein docking F Sverrisson, J Feydy, J Southern, MM Bronstein, BE Correia MLDD workshop of ICLR 2022, 2022 | 12 | 2022 |
| Collective proposal distributions for nonlinear MCMC samplers: Mean-field theory and fast implementation G Clarté, A Diez, J Feydy Electronic Journal of Statistics 16 (2), 6395-6460, 2022 | 9 | 2022 |
| Global divergences between measures: from Hausdorff distance to Optimal Transport J Feydy, A Trouvé International Workshop on Shape in Medical Imaging, 102-115, 2018 | 9 | 2018 |
| Distortion minimizing geodesic subspaces in shape spaces and computational anatomy B Charlier, J Feydy, DW Jacobs, A Trouvé VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on …, 2018 | 4 | 2018 |
| Approximation and structured prediction with sparse wasserstein barycenters MH Do, J Feydy, O Mula arXiv preprint arXiv:2302.05356, 2023 | 1 | 2023 |
| Accelerating High-Dimensional Temporal Modelling Using Graphics Processing Units for Pharmacovigilance Signal Detection on Real-Life Data P Sabatier, J Feydy, AS Jannot Challenges of Trustable AI and Added-Value on Health, 83-87, 2022 | 1 | 2022 |
| Détection de signaux d'effets indésirables médicamenteux sur grandes bases médico-administratives: analyses de survie sur GPU A Van Straaten, P Sabatier, J Feydy, A Jannot Revue d'Épidémiologie et de Santé Publique 71, 101622, 2023 | | 2023 |
| Accélération des calculs à l'aide de cartes graphiques pour la détection de signaux de pharmacovigilance sur le Système national des données de santé: le package survivalGPU A Van Straaten, P Sabatier, J Feydy, AS Jannot Revue d'Épidémiologie et de Santé Publique 71, 101467, 2023 | | 2023 |
| Les groupes hyperboliques sont automatiques J Feydy | | 2012 |
Alain TrouvéENS Paris-SaclayVerified email at cmla.ens-cachan.fr
