François-Xavier Vialard

62 papers A* 12A 2Journal 36Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Gromov-Wasserstein at Scale, Beyond Squared Norms.
CoRR
Guillaume Houry, Jean Feydy, François-Xavier Vialard
2025 A* conf
CARL: A Framework for Equivariant Image Registration.
CVPR
Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer
2025 J jnl
On the Existence of Monge Maps for the Gromov-Wasserstein Problem.
Found. Comput. Math.
Théo Dumont, Théo Lacombe, François-Xavier Vialard
2025 J jnl
On the Global Convergence of Wasserstein Gradient Flow of the Coulomb Discrepancy.
SIAM J. Math. Anal.
Siwan Boufadene, François-Xavier Vialard
2025 J jnl
Sliced ReLU attention: Quasi-linear contextual expressivity via sorting.
CoRR
Siwan Boufadene, François-Xavier Vialard
2025 J jnl
Token Sample Complexity of Attention.
CoRR
Léa Bohbot, Cyril Letrouit, Gabriel Peyré, François-Xavier Vialard
2025 J jnl
Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime.
CoRR
Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard
2024 J jnl
CARL: A Framework for Equivariant Image Registration.
CoRR
Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer
2024 — conf
MultiGradICON: A Foundation Model for Multimodal Medical Image Registration.
WBIR
Basar Demir, Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard J. Rushmore, Ebrahim Ebrahim, Marc Niethammer
2024 J jnl
Optimal Estimation of Smooth Transport Maps with Kernel SoS.
SIAM J. Math. Data Sci.
Adrien Vacher, Boris Muzellec, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi
2024 J jnl
Toric geometry of entropic regularization.
J. Symb. Comput.
Bernd Sturmfels, Simon Telen, François-Xavier Vialard, Max von Renesse
2024 J jnl
Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport.
CoRR
Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard
2024 J jnl
multiGradICON: A Foundation Model for Multimodal Medical Image Registration.
CoRR
Basar Demir, Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard Jarrett Rushmore, Ebrahim Ebrahim, Marc Niethammer
2024 — conf
uniGradICON: A Foundation Model for Medical Image Registration.
MICCAI (2)
Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard J. Rushmore, Marc Niethammer
2024 J jnl
uniGradICON: A Foundation Model for Medical Image Registration.
CoRR
Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard J. Rushmore, Marc Niethammer
2023 A* conf
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency.
CVPR
Lin Tian, Thomas Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Richard Jarrett Rushmore, Nikolaos Makris, Sylvain Bouix, Marc Niethammer
2023 — conf
Inverse Consistency by Construction for Multistep Deep Registration.
MICCAI (10)
Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raúl San José Estépar, Richard J. Rushmore, Marc Niethammer
2023 J jnl
Inverse Consistency by Construction for Multistep Deep Registration.
CoRR
Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raúl San José Estépar, Richard Jarrett Rushmore, Marc Niethammer
2023 A* conf
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
ICML
Adrien Vacher, François-Xavier Vialard
2022 A conf
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe.
AISTATS
Thibault Séjourné, François-Xavier Vialard, Gabriel Peyré
2022 J jnl
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe.
CoRR
Thibault Séjourné, François-Xavier Vialard, Gabriel Peyré
2022 J jnl
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency.
CoRR
Lin Tian, Thomas Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer
2022 A* conf
On global convergence of ResNets: From finite to infinite width using linear parameterization.
NeurIPS
Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard
2022 A* conf
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation.
NeurIPS
Adrien Vacher, François-Xavier Vialard
2022 J jnl
Toric Geometry of Entropic Regularization.
CoRR
Bernd Sturmfels, Simon Telen, François-Xavier Vialard, Max von Renesse
2022 J jnl
Unbalanced Optimal Transport, from Theory to Numerics.
CoRR
Thibault Séjourné, Gabriel Peyré, François-Xavier Vialard
2021 A* conf
A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation.
COLT
Adrien Vacher, Boris Muzellec, Alessandro Rudi, Francis R. Bach, François-Xavier Vialard
2021 J jnl
Global convergence of ResNets: From finite to infinite width using linear parameterization.
CoRR
Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard
2021 A* conf
ICON: Learning Regular Maps Through Inverse Consistency.
ICCV
Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer
2021 J jnl
ICON: Learning Regular Maps Through Inverse Consistency.
CoRR
Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer
2021 J jnl
Near-optimal estimation of smooth transport maps with kernel sums-of-squares.
CoRR
Boris Muzellec, Adrien Vacher, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi
2021 A* conf
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation.
NeurIPS
Thibault Séjourné, François-Xavier Vialard, Gabriel Peyré
2020 J jnl
A Shooting Formulation of Deep Learning.
CoRR
François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer
2020 A* conf
A shooting formulation of deep learning.
NeurIPS
François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer
2020 A* conf
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence.
NeurIPS
Lénaïc Chizat, Pierre Roussillon, Flavien Léger, François-Xavier Vialard, Gabriel Peyré
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 A* conf
Metric Learning for Image Registration.
CVPR
Marc Niethammer, Roland Kwitt, François-Xavier Vialard
2019 J jnl
Metric Learning for Image Registration.
CoRR
Marc Niethammer, Roland Kwitt, François-Xavier Vialard
2019 J jnl
Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces.
CoRR
Virginie Ehrlacher, Damiano Lombardi, Olga Mula, François-Xavier Vialard
2019 A* conf
Region-specific Diffeomorphic Metric Mapping.
NeurIPS
Zhengyang Shen, François-Xavier Vialard, Marc Niethammer
2019 J jnl
Region-specific Diffeomorphic Metric Mapping.
CoRR
Zhengyang Shen, François-Xavier Vialard, Marc Niethammer
2019 J jnl
Second-Order Models for Optimal Transport and Cubic Splines on the Wasserstein Space.
Found. Comput. Math.
Jean-David Benamou, Thomas O. Gallouët, François-Xavier Vialard
2019 J jnl
Sinkhorn Divergences for Unbalanced Optimal Transport.
CoRR
Thibault Séjourné, Jean Feydy, François-Xavier Vialard, Alain Trouvé, Gabriel Peyré
2018 J jnl
An Interpolating Distance Between Optimal Transport and Fisher-Rao Metrics.
Found. Comput. Math.
Lenaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard
2018 J jnl
Scaling algorithms for unbalanced optimal transport problems.
Math. Comput.
Lenaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard
2017 — conf
Optimal Transport for Diffeomorphic Registration.
MICCAI (1)
Jean Feydy, Benjamin Charlier, François-Xavier Vialard, Gabriel Peyré
2016 J jnl
Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics.
SIAM J. Imaging Sci.
Giacomo Nardi, Gabriel Peyré, François-Xavier Vialard
2016 J jnl
Quantum Optimal Transport for Tensor Field Processing.
CoRR
Gabriel Peyré, Lenaïc Chizat, François-Xavier Vialard, Justin Solomon
2015 J jnl
Splines for diffeomorphisms.
Medical Image Anal.
Nikhil Singh, François-Xavier Vialard, Marc Niethammer
2014 — conf
Spatially-Varying Metric Learning for Diffeomorphic Image Registration: A Variational Framework.
MICCAI (1)
François-Xavier Vialard, Laurent Risser
2013 — conf
Left-Invariant Metrics for Diffeomorphic Image Registration with Spatially-Varying Regularisation.
MICCAI (1)
Tanya Schmah, Laurent Risser, François-Xavier Vialard
2013 J jnl
Piecewise-diffeomorphic image registration: Application to the motion estimation between 3D CT lung images with sliding conditions.
Medical Image Anal.
Laurent Risser, François-Xavier Vialard, Habib Y. Baluwala, Julia A. Schnabel
2012 J jnl
Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation.
Int. J. Comput. Vis.
François-Xavier Vialard, Laurent Risser, Daniel Rueckert, Colin J. Cotter
2012 J jnl
Invariant Higher-Order Variational Problems II.
J. Nonlinear Sci.
François Gay-Balmaz, Darryl D. Holm, David M. Meier, Tudor S. Ratiu, François-Xavier Vialard
2012 — conf
Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer's Longitudinal Population Analysis.
STIA
Jean-Baptiste Fiot, Laurent Risser, Laurent D. Cohen, Jurgen Fripp, François-Xavier Vialard
2012 J jnl
Mixture of Kernels and Iterated Semidirect Product of Diffeomorphisms Groups.
Multiscale Model. Simul.
Martins Bruveris, Laurent Risser, François-Xavier Vialard
2011 — conf
Diffeomorphic Atlas Estimation using Karcher Mean and Geodesic Shooting on Volumetric Images.
MIUA
François-Xavier Vialard, Laurent Risser, Darryl D. Holm, Daniel Rueckert
2011 — conf
Geodesic Regression for Image Time-Series.
MICCAI (2)
Marc Niethammer, Yang Huang, François-Xavier Vialard
2011 J jnl
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping.
IEEE Trans. Medical Imaging
Laurent Risser, François-Xavier Vialard, Robin Wolz, Maria Murgasova, Darryl D. Holm, Daniel Rueckert
2010 — conf
Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration.
MIAR
Dong Ping Zhang, Laurent Risser, François-Xavier Vialard, Philip J. Edwards, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert
2010 — conf
Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies.
WBIR
Laurent Risser, François-Xavier Vialard, Maria Murgasova, Darryl D. Holm, Daniel Rueckert
2010 — conf
Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease.
MICCAI (2)
Laurent Risser, François-Xavier Vialard, Robin Wolz, Darryl D. Holm, Daniel Rueckert