Jean Feydy
Jean Feydy
INRIA Paris, HeKA team
Verified email at - Homepage
Cited by
Cited by
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
Journal of Machine Learning Research 22 (74), 1-6, 2021
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
Optimal transport for diffeomorphic registration
J Feydy, B Charlier, FX Vialard, G Peyré
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
Geometric data analysis, beyond convolutions
J Feydy
Université Paris-Saclay, 2020
Sinkhorn divergences for unbalanced optimal transport
T Séjourné, J Feydy, FX Vialard, A Trouvé, G Peyré
arXiv preprint arXiv:1910.12958, 2019
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 104 (1), 1-5, 2023
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
Physics-informed deep neural network for rigid-body protein docking
F Sverrisson, J Feydy, J Southern, MM Bronstein, BE Correia
MLDD 2022-Machine Learning for Drug Discovery Workshop of ICLR 2022, 2022
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
Global divergences between measures: from Hausdorff distance to Optimal Transport
J Feydy, A Trouvé
International Workshop on Shape in Medical Imaging, 102-115, 2018
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
Approximation and structured prediction with sparse wasserstein barycenters
MH Do, J Feydy, O Mula
arXiv preprint arXiv:2302.05356, 2023
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
Next generation phenotyping for diagnosis and phenotype–genotype correlations in Kabuki syndrome
Q Hennocq, M Willems, J Amiel, S Arpin, T Attie-Bitach, T Bongibault, ...
Scientific Reports 14 (1), 2330, 2024
Anisotropic power diagrams for polycrystal modelling: efficient generation of curved grains via optimal transport
M Buze, J Feydy, SM Roper, K Sedighiani, DP Bourne
arXiv preprint arXiv:2403.03571, 2024
An optimal transport model for dynamical shapes, collective motion and cellular aggregates
A Diez, J Feydy
arXiv preprint arXiv:2402.17086, 2024
DiffMaSIF: Surface-based Protein-Protein Docking with Diffusion Models
F Sverrisson, M Akdel, D Abramson, J Feydy, A Goncearenco, Y Adeshina, ...
Machine Learning in Structural Biology workshop at NeurIPS 2023, 2023
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