Jean Feydy

19 papers A* 3A 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Gromov-Wasserstein at Scale, Beyond Squared Norms.
CoRR
Guillaume Houry, Jean Feydy, François-Xavier Vialard
2025 J jnl
Normalizing Diffusion Kernels with Optimal Transport.
CoRR
Nathan Kessler, Robin Magnet, Jean Feydy
2025 J jnl
Sparse Wasserstein Barycenters and Application to Reduced Order Modeling.
J. Sci. Comput.
Minh-Hieu Do, Jean Feydy, Olga Mula
2025 — conf
Untangling Vascular Trees for Surgery and Interventional Radiology.
MICCAI (9)
Guillaume Houry, Tom Boeken, Stéphanie Allassonnière, Jean Feydy
2024 J jnl
An optimal transport model for dynamical shapes, collective motion and cellular aggregates.
CoRR
Antoine Diez, Jean Feydy
2023 J jnl
Approximation and Structured Prediction with Sparse Wasserstein Barycenters.
CoRR
Minh-Hieu Do, Jean Feydy, Olga Mula
2022 — conf
Accelerating High-Dimensional Temporal Modelling Using Graphics Processing Units for Pharmacovigilance Signal Detection on Real-Life Data.
MIE
Pierre Sabatier, Jean Feydy, Anne-Sophie Jannot
2021 A* conf
Accurate Point Cloud Registration with Robust Optimal Transport.
NeurIPS
Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer
2021 J jnl
Accurate Point Cloud Registration with Robust Optimal Transport.
CoRR
Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer
2021 A* conf
Fast End-to-End Learning on Protein Surfaces.
CVPR
Freyr Sverrisson, Jean Feydy, Bruno E. Correia, Michael M. Bronstein
2021 J jnl
Fast and Scalable Optimal Transport for Brain Tractograms.
CoRR
Jean Feydy, Pierre Roussillon, Alain Trouvé, Pietro Gori
2021 J jnl
Kernel Operations on the GPU, with Autodiff, without Memory Overflows.
J. Mach. Learn. Res.
Benjamin Charlier, Jean Feydy, Joan Alexis Glaunès, François-David Collin, Ghislain Durif
2020 A* conf
Fast geometric learning with symbolic matrices.
NeurIPS
Jean Feydy, Joan Alexis Glaunès, Benjamin Charlier, Michael M. Bronstein
2020 J jnl
Kernel Operations on the GPU, with Autodiff, without Memory Overflows.
CoRR
Benjamin Charlier, Jean Feydy, Joan Alexis Glaunès, François-David Collin, Ghislain Durif
2019 — conf
Fast and Scalable Optimal Transport for Brain Tractograms.
MICCAI (3)
Jean Feydy, Pierre Roussillon, Alain Trouvé, Pietro Gori
2019 A conf
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences.
AISTATS
Jean Feydy, Thibault Séjourné, François-Xavier Vialard, Shun-ichi Amari, Alain Trouvé, Gabriel Peyré
2019 J jnl
Sinkhorn Divergences for Unbalanced Optimal Transport.
CoRR
Thibault Séjourné, Jean Feydy, François-Xavier Vialard, Alain Trouvé, Gabriel Peyré
2018 — conf
Global Divergences Between Measures: From Hausdorff Distance to Optimal Transport.
ShapeMI@MICCAI
Jean Feydy, Alain Trouvé
2017 — conf
Optimal Transport for Diffeomorphic Registration.
MICCAI (1)
Jean Feydy, Benjamin Charlier, François-Xavier Vialard, Gabriel Peyré