Vialard, François-Xavier

15 publications

CVPR 2025 CARL: A Framework for Equivariant Image Registration Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Raul San Jose Estepar, Marc Niethammer

NeurIPS 2025 Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard, Olivier Wintenberger

NeurIPS 2025 Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard, Olivier Wintenberger

CVPR 2023 GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency Lin Tian, Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Richard Jarrett Rushmore, Nikolaos Makris, Sylvain Bouix, Marc Niethammer

ICML 2023 Semi-Dual Unbalanced Quadratic Optimal Transport: Fast Statistical Rates and Convergent Algorithm. Adrien Vacher, François-Xavier Vialard

AISTATS 2022 Faster Unbalanced Optimal Transport: Translation Invariant Sinkhorn and 1-D Frank-Wolfe Thibault Sejourne, Francois-Xavier Vialard, Gabriel Peyré

NeurIPS 2022 On Global Convergence of ResNets: From Finite to Infinite Width Using Linear Parameterization Raphaël Barboni, Gabriel Peyré, Francois-Xavier Vialard

NeurIPS 2022 Parameter Tuning and Model Selection in Optimal Transport with Semi-Dual Brenier Formulation Adrien Vacher, Francois-Xavier Vialard

COLT 2021 A Dimension-Free Computational Upper-Bound for Smooth Optimal Transport Estimation Adrien Vacher, Boris Muzellec, Alessandro Rudi, Francis Bach, Francois-Xavier Vialard

ICCV 2021 ICON: Learning Regular Maps Through Inverse Consistency Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer

NeurIPS 2021 The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Sejourne, Francois-Xavier Vialard, Gabriel Peyré

NeurIPS 2020 A Shooting Formulation of Deep Learning François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer

NeurIPS 2020 Faster Wasserstein Distance Estimation with the Sinkhorn Divergence Lénaïc Chizat, Pierre Roussillon, Flavien Léger, François-Xavier Vialard, Gabriel Peyré

AISTATS 2019 Interpolating Between Optimal Transport and MMD Using Sinkhorn Divergences Jean Feydy, Thibault Séjourné, François-Xavier Vialard, Shun-ichi Amari, Alain Trouve, Gabriel Peyré

NeurIPS 2019 Region-Specific Diffeomorphic Metric Mapping Zhengyang Shen, Francois-Xavier Vialard, Marc Niethammer