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Parameter tuning and model selection in optimal transport with semi-dual Brenier formulation
Adrien Vacher
,
François-Xavier Vialard
NeurIPS, 2022, New Orleans, France
Communication dans un congrès
hal-03475455v2
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Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe
Gabriel Peyré
,
François Vialard
,
Thibault Séjourné
Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, Mar 2022, 2022-03-28, France. pp.4995-5021
Communication dans un congrès
hal-03869544v1
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Variational Second-Order Interpolation on the Group of Diffeomorphisms with a Right-Invariant Metric
François-Xavier Vialard
Chapitre d'ouvrage
hal-01682108v1
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Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy
,
Thibault Séjourné
,
François-Xavier Vialard
,
Shun-Ichi Amari
,
Alain Trouvé
,
et al.
Communication dans un congrès
hal-04435902v1
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On global convergence of ResNets: From finite to infinite width using linear parameterization
Raphaël Barboni
,
Gabriel Peyré
,
François-Xavier Vialard
NeurIPS 2022, Nov 2022, New Orleans (online), United States. pp.16385-16397
Communication dans un congrès
hal-03473699v2
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Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
Lenaic Chizat
,
Pierre Roussillon
,
Flavien Léger
,
François-Xavier Vialard
,
Gabriel Peyré
NeurIPS 2020, Dec 2020, Vancouver, Canada. pp.2257-2269
Communication dans un congrès
hal-02867271v2
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Near-optimal estimation of smooth transport maps with kernel sums-of-squares
Boris Muzellec
,
Adrien Vacher
,
Francis Bach
,
François-Xavier Vialard
,
Alessandro Rudi
SIAM Journal on Mathematics of Data Science, In press
Article dans une revue
hal-03466696v1
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Climate Science at the Interface Between Topological Data Analysis and Dynamical Systems Theory
Davide Faranda
,
Théo Lacombe
,
Nina Otter
,
Kristian Strommen
Article dans une revue
hal-04396161v1
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Semi-Dual Unbalanced Quadratic Optimal Transport: Fast Statistical Rates and Convergent Algorithm
Adrien Vacher
,
François-Xavier Vialard
ICML, Mar 2023, Hawaii, USA, United States
Communication dans un congrès
hal-03609629v2
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Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces
Virginie Ehrlacher
,
Damiano Lombardi
,
Olga Mula
,
François-Xavier Vialard
Article dans une revue
hal-02290431v1
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Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
Yijun Wan
,
Melih Barsbey
,
Umut Şimşekli
,
Abdellatif Zaidi
The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), Dec 2023, New Orleans, United States
Communication dans un congrès
hal-04457053v1
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A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation
Adrien Vacher
,
Boris Muzellec
,
Alessandro Rudi
,
Francis Bach
,
François-Xavier Vialard
COLT 2021 - 34th Annual Conference on Learning Theory, Aug 2021, Boulder, United States
Communication dans un congrès
hal-03454237v1
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On the global convergence of Wasserstein gradient flow of the Coulomb discrepancy
Siwan Boufadène
,
François-Xavier Vialard
2024
Pré-publication, Document de travail
hal-04282762v2
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A geometric Laplace method
Flavien Léger
,
François-Xavier Vialard
Article dans une revue
hal-03911149v1
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Generalized compressible flows and solutions of the H(div) geodesic problem
Thomas Gallouët
,
Andrea Natale
,
François-Xavier Vialard
Article dans une revue
hal-01815531v3
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Second order models for optimal transport and cubic splines on the Wasserstein space
Jean-David Benamou
,
Thomas Gallouët
,
François-Xavier Vialard
Article dans une revue
hal-01682107v2
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Metric completion of $Diff([0,1])$ with the $H1$ right-invariant metric
Simone Di Marino
,
Andrea Natale
,
Rabah Tahraoui
,
François-Xavier Vialard
2019
Pré-publication, Document de travail
hal-02161686v1
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