Wasserstein Dictionary Learning: Optimal Transport-based unsupervised
non-linear dictionary learning

Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning

7 August 2017

Nicolas Bonneel

Fred-Maurice Ngole-Mboula

Jean-Luc Starck

Papers citing "Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning"

16 / 16 papers shown

Title
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications Matthew Werenski Brendan Mallery Shuchin Aeron James M. Murphy 38 0 0 31 Oct 2024
Non-injectivity of Bures--Wasserstein barycentres in infinite dimensions Y. Zemel 16 1 0 15 Nov 2023
Implicit Graphon Neural Representation Xinyue Xia Gal Mishne Yusu Wang GNN AI4CE 34 4 0 07 Nov 2022
Geometric Sparse Coding in Wasserstein Space M. Mueller Shuchin Aeron James M. Murphy Abiy Tasissa 14 4 0 21 Oct 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Tongzheng Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 26 19 0 27 Sep 2022
Measure Estimation in the Barycentric Coding Model Matthew Werenski Ruijie Jiang Abiy Tasissa Shuchin Aeron James M. Murphy 40 14 0 28 Jan 2022
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 35 23 0 06 Oct 2021
Low-Rank Sinkhorn Factorization M. Scetbon Marco Cuturi Gabriel Peyré 22 57 0 08 Mar 2021
Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu 17 48 0 19 Nov 2019
Statistical data analysis in the Wasserstein space Jérémie Bigot 19 29 0 19 Jul 2019
Minimax estimation of smooth optimal transport maps Jan-Christian Hütter Philippe Rigollet OT 21 28 0 14 May 2019
$A general drift estimation procedure for stochastic differential equations with additive fractional noise$ A general drift estimation procedure for stochastic differential equations with additive fractional noise Fabien Panloup S. Tindel Maylis Varvenne 19 14 0 26 Mar 2019
Wasserstein Barycenter Model Ensembling Pierre L. Dognin Igor Melnyk Youssef Mroueh Jerret Ross Cicero Nogueira dos Santos Tom Sercu 22 24 0 13 Feb 2019
Empirical Regularized Optimal Transport: Statistical Theory and Applications M. Klatt Carla Tameling Axel Munk OT 21 59 0 23 Oct 2018
Distilled Wasserstein Learning for Word Embedding and Topic Modeling Hongteng Xu Wenlin Wang W. Liu Lawrence Carin MedIm FedML 27 84 0 12 Sep 2018
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise Alessandro Rudi Massimiliano Pontil C. Ciliberto OT 24 130 0 30 May 2018