Jean Feydy
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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
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
Optimal transport for diffeomorphic registration
J Feydy, B Charlier, FX Vialard, G Peyré
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 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
Sinkhorn divergences for unbalanced optimal transport
T Séjourné, J Feydy, FX Vialard, A Trouvé, G Peyré
arXiv preprint arXiv:1910.12958, 2019
Geometric data analysis, beyond convolutions
J Feydy
Université Paris-Saclay, 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
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
Fast geometric learning with symbolic matrices
J Feydy, A Glaunès, B Charlier, M Bronstein
Advances in Neural Information Processing Systems 33, 14448-14462, 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
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
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
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
Global divergences between measures: from Hausdorff distance to Optimal Transport
J Feydy, A Trouvé
International Workshop on Shape in Medical Imaging, 102-115, 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
Approximation and structured prediction with sparse wasserstein barycenters
MH Do, J Feydy, O Mula
arXiv preprint arXiv:2302.05356, 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
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
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
Les groupes hyperboliques sont automatiques
J Feydy
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