Francois-Xavier Vialard
15 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31)
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Keyword Collector
(65)
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Trend Setter
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Century Club · Bronze
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Unstoppable · Bronze
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Conference Pioneer
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Research topics
Machine Learning
(10)
Mathematics & Optimization
(9)
Optimization
(9)
Optimization & Theory · Machine Learning
(8)
Deep Learning
(5)
Mathematics
(5)
Computer Vision
(3)
Core Methods
(3)
Domain-Specific
(3)
Processing
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Learning Types
(2)
Optimization & Theory · Deep Learning
(2)
Healthcare & Medicine
(1)
Keywords
optimal transport
(6)
image registration
(5)
entropic regularization
(2)
domain adaptation
(2)
neural network optimization
(2)
sinkhorn divergence
(2)
unbalanced optimal transport
(2)
residual network
(2)
spatial transformation
(2)
deep learning
(2)
statistical estimation
(2)
medical imaging
(2)
bregman divergence
(1)
density estimation
(1)
computational complexity
(1)
convex optimization
(1)
metric learning
(1)
diffeomorphic mapping
(1)
sample complexity
(1)
gradient descent
(1)
Papers
CARL: A Framework for Equivariant Image Registration
CVPR 2025
uniGradICON: A Foundation Model for Medical Image Registration
MICCAI 2024
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
CVPR 2023
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
ICML 2023
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe
AISTATS 2022
On global convergence of ResNets: From finite to infinite width using linear parameterization
NeurIPS 2022
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation
NeurIPS 2022
A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation
COLT 2021
ICON: Learning Regular Maps Through Inverse Consistency
ICCV 2021
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
NeurIPS 2021
A shooting formulation of deep learning
NeurIPS 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
NeurIPS 2020
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
AISTATS 2019
Metric Learning for Image Registration
CVPR 2019
Region-specific Diffeomorphic Metric Mapping
NeurIPS 2019