Numerical Optimal tRansport for ImAging

Publicaciones

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form

Autores: Hicham Janati, Boris Muzellec, Gabriel Peyré, Marco Cuturi
Publicado en: Proc. Neurips 2020, 2020
Editor: Neurips

Wasserstein Control of Mirror Langevin Monte Carlo

Autores: Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra
Publicado en: PMLR, Edición 125, 2020, Página(s) 3814-3841
Editor: PMLR

Unsupervised Ground Metric Learning using Wasserstein Eigenvectors

Autores: G-J. Huizing, L. Cantini, G. Peyré
Publicado en: Proc. ICML'22, 2022
Editor: ICML

Faster Wasserstein Distance Estimation with the Sinkhorn Divergence

Autores: Lénaïc Chizat, Pierre Roussillon, Flavien Léger, François-Xavier Vialard, Gabriel Peyré
Publicado en: Proc. Neurips 2020, 2020
Editor: Neurips

Support localization and the fisher metric for off-the-grid sparse regularization

Autores: C. Poon, N. Keriven, G. Peyré
Publicado en: Proc AISTATS 2019, 2019
Editor: AISTATS

Model Consistency for Learning with Mirror-Stratifiable Regularizers

Autores: J. Fadili, G. Garrigos, J. Malick, G. Peyré
Publicado en: Proc AISTATS2019, 2019
Editor: AISTATS

Sample Complexity of Sinkhorn divergences

Autores: A. Genevay, L. Chizat, F. Bach, M. Cuturi, G. Peyré
Publicado en: Proc AISTATS2019, 2019
Editor: AISTATS

Geometric Losses for Distributional Learning

Autores: A. Mensch, M. Blondel, G. Peyré
Publicado en: Proc. ICML'19, 2019
Editor: ICML

Super-efficiency of automatic differentiation for functions defined as a minimum

Autores: Pierre Ablin, Gabriel Peyré, Thomas Moreau
Publicado en: PMLR, Edición 119, 2020, Página(s) 32-41
Editor: PMLR

Sinkformers: Transformers with Doubly Stochastic Attention

Autores: M. E. Sander, P. Ablin, M. Blondel, G. Peyré
Publicado en: Proc. AISTATS 2022, 2022
Editor: AISTATS

Online Sinkhorn: Optimal Transport distances from sample streams

Autores: Arthur Mensch, Gabriel Peyré
Publicado en: Proc. Neurips 2020, 2020
Editor: Neurips

Momentum Residual Neural Networks

Autores: M. E. Sander, P. Ablin, M. Blondel, G. Peyré
Publicado en: Proc. ICML'21, 2021
Editor: ICML

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization

Autores: Z. Ye and G. Peyré and D. Cremers and P. Ablin
Publicado en: Proc. AISTATS'24, 2024
Editor: AISTATS

Ground Metric Learning on Graphs

Autores: Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré
Publicado en: J Math Imaging Vis, 2020, ISSN 0924-9907
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10851-020-00996-z

Optimal Transport improves cell-cell similarity inference in single-cell omics data

Autores: Geert-Jan Huizing, Gabriel Peyré, Laura Cantini
Publicado en: Bioinformatics, 2022, Página(s) 2169–2177, ISSN 1367-4803
Editor: Oxford University Press
DOI: 10.1093/bioinformatics/btac084

Sensitivity Analysis for Mirror-Stratifiable Convex Functions

Autores: Jalal Fadili, Jérôme Malick, Gabriel Peyré
Publicado en: SIAM Journal on Optimization, Edición 28/4, 2018, Página(s) 2975-3000, ISSN 1052-6234
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m113825x

Semidual Regularized Optimal Transport

Autores: Marco Cuturi, Gabriel Peyré
Publicado en: SIAM Review, Edición 60/4, 2018, Página(s) 941-965, ISSN 0036-1445
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1208654

Unbalanced optimal transport: Dynamic and Kantorovich formulations

Autores: Lénaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard
Publicado en: Journal of Functional Analysis, Edición 274/11, 2018, Página(s) 3090-3123, ISSN 0022-1236
Editor: Academic Press
DOI: 10.1016/j.jfa.2018.03.008

Local linear convergence analysis of Primal–Dual splitting methods

Autores: Jingwei Liang, Jalal Fadili, Gabriel Peyré
Publicado en: Optimization, Edición 67/6, 2018, Página(s) 821-853, ISSN 0233-1934
Editor: Taylor & Francis
DOI: 10.1080/02331934.2018.1426584

An Interpolating Distance Between Optimal Transport and Fisher–Rao Metrics

Autores: Lénaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard
Publicado en: Foundations of Computational Mathematics, Edición 18/1, 2018, Página(s) 1-44, ISSN 1615-3375
Editor: Springer Verlag
DOI: 10.1007/s10208-016-9331-y

Computational Optimal Transport

Autores: Gabriel Peyré, Marco Cuturi
Publicado en: Foundations and Trends® in Machine Learning, Edición 11/5-6, 2018, Página(s) 355-206, ISSN 1935-8237
Editor: Now Publishers Inc.
DOI: 10.1561/2200000073

MultiDimensional Sparse Super-Resolution

Autores: Clarice Poon, Gabriel Peyré
Publicado en: SIAM Journal on Mathematical Analysis, Edición 51/1, 2019, Página(s) 1-44, ISSN 0036-1410
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m1147822

A Low-Rank Approach to Off-the-Grid Sparse Superresolution

Autores: Paul Catala, Vincent Duval, Gabriel Peyré
Publicado en: SIAM Journal on Imaging Sciences, Edición 12/3, 2019, Página(s) 1464-1500, ISSN 1936-4954
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m124071x

The sliding Frank–Wolfe algorithm and its application to super-resolution microscopy

Autores: Quentin Denoyelle, Vincent Duval, Gabriel Peyré, Emmanuel Soubies
Publicado en: Inverse Problems, Edición 36/1, 2020, Página(s) 014001, ISSN 0266-5611
Editor: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab2a29

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