| 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 | 533 | 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 | 190 | 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 | 138 | 2021 |
| Optimal transport for diffeomorphic registration J Feydy, B Charlier, FX Vialard, G Peyré Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 110 | 2017 |
| Geometric data analysis, beyond convolutions J Feydy Université Paris-Saclay, 2020 | 79* | 2020 |
| Sinkhorn divergences for unbalanced optimal transport T Séjourné, J Feydy, FX Vialard, A Trouvé, G Peyré arXiv preprint arXiv:1910.12958, 2019 | 67 | 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 | 66 | 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 | 48 | 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 | 39 | 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 | 26 | 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 | 17 | 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 | 12 | 2018 |
| 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 | 11 | 2023 |
| 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 | 7 | 2022 |
| 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 | 6 | 2018 |
| Approximation and structured prediction with sparse wasserstein barycenters MH Do, J Feydy, O Mula arXiv preprint arXiv:2302.05356, 2023 | 5 | 2023 |
| 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 | 3 | 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 | 2 | 2024 |
| An optimal transport model for dynamical shapes, collective motion and cellular aggregates A Diez, J Feydy arXiv preprint arXiv:2402.17086, 2024 | 1 | 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 | 1 | 2023 |
Alain TrouvéENS Paris-Saclay在 cmla.ens-cachan.fr 的电子邮件经过验证
