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François-Xavier Vialard

LIGM

Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization

May 23, 2024
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Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport

Mar 19, 2024
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Unbalanced Optimal Transport, from Theory to Numerics

Nov 16, 2022
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GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency

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Jun 13, 2022
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Toric Geometry of Entropic Regularization

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Feb 03, 2022
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Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe

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Jan 03, 2022
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Near-optimal estimation of smooth transport maps with kernel sums-of-squares

Dec 29, 2021
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Global convergence of ResNets: From finite to infinite width using linear parameterization

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Dec 10, 2021
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The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation

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Sep 09, 2020
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A Shooting Formulation of Deep Learning

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Jun 18, 2020
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