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Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
v1v2v3v4 (latest)

Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem

10 March 2023
Xavier Aramayo Carrasco
Maksim Nekrashevich
Petr Mokrov
Evgeny Burnaev
Alexander Korotin
    OT
ArXiv (abs)PDFHTML

Papers citing "Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem"

48 / 48 papers shown
Title
Strongly Isomorphic Neural Optimal Transport Across Incomparable Spaces
Strongly Isomorphic Neural Optimal Transport Across Incomparable Spaces
Athina Sotiropoulou
David Alvarez-Melis
OT
47
2
0
20 Jul 2024
Distributional Reduction: Unifying Dimensionality Reduction and
  Clustering with Gromov-Wasserstein
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
Hugues van Assel
Cédric Vincent-Cuaz
Nicolas Courty
Rémi Flamary
Pascal Frossard
Titouan Vayer
52
5
0
03 Feb 2024
Neural Entropic Gromov-Wasserstein Alignment
Neural Entropic Gromov-Wasserstein Alignment
Tao Wang
Ziv Goldfeld
OT
65
3
0
12 Dec 2023
Structured Transforms Across Spaces with Cost-Regularized Optimal
  Transport
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport
Othmane Sebbouh
Marco Cuturi
Gabriel Peyré
OT
60
4
0
09 Nov 2023
Recent Advances in Optimal Transport for Machine Learning
Recent Advances in Optimal Transport for Machine Learning
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OODOT
71
39
0
28 Jun 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced
  Optimal Transport
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
Jaemoo Choi
Jaewoong Choi
Myung-joo Kang
OT
95
23
0
24 May 2023
Energy-guided Entropic Neural Optimal Transport
Energy-guided Entropic Neural Optimal Transport
Petr Mokrov
Alexander Korotin
Alexander Kolesov
Nikita Gushchin
Evgeny Burnaev
OT
93
23
0
12 Apr 2023
The Monge Gap: A Regularizer to Learn All Transport Maps
The Monge Gap: A Regularizer to Learn All Transport Maps
Théo Uscidda
Marco Cuturi
OT
90
30
0
09 Feb 2023
Gromov-Wasserstein Distances: Entropic Regularization, Duality, and
  Sample Complexity
Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity
Zhengxin Zhang
Ziv Goldfeld
Youssef Mroueh
Bharath K. Sriperumbudur
OT
54
18
0
25 Dec 2022
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces
Prince Osei Aboagye
Yan Zheng
Michael Yeh
Junpeng Wang
Zhongfang Zhuang
Huiyuan Chen
Liang Wang
Wei Zhang
J. M. Phillips
OT
57
4
0
05 Dec 2022
Entropic Neural Optimal Transport via Diffusion Processes
Entropic Neural Optimal Transport via Diffusion Processes
Nikita Gushchin
Alexander Kolesov
Alexander Korotin
Dmitry Vetrov
Evgeny Burnaev
OTDiffM
97
42
0
02 Nov 2022
Flow Matching for Generative Modeling
Flow Matching for Generative Modeling
Y. Lipman
Ricky T. Q. Chen
Heli Ben-Hamu
Maximilian Nickel
Matt Le
OOD
213
1,389
0
06 Oct 2022
Neural Optimal Transport with General Cost Functionals
Neural Optimal Transport with General Cost Functionals
Arip Asadulaev
Alexander Korotin
Vage Egiazarian
Petr Mokrov
Evgeny Burnaev
OT
115
34
0
30 May 2022
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein
Marco Cuturi
Laetitia Meng-Papaxanthos
Yingtao Tian
Charlotte Bunne
Geoff Davis
O. Teboul
OT
201
106
0
28 Jan 2022
Neural Optimal Transport
Neural Optimal Transport
Alexander Korotin
Daniil Selikhanovych
Evgeny Burnaev
OT
199
99
0
28 Jan 2022
Cycle Consistent Probability Divergences Across Different Spaces
Cycle Consistent Probability Divergences Across Different Spaces
Zhengxin Zhang
Youssef Mroueh
Ziv Goldfeld
Bharath K. Sriperumbudur
72
10
0
22 Nov 2021
Score-based Generative Neural Networks for Large-Scale Optimal Transport
Score-based Generative Neural Networks for Large-Scale Optimal Transport
Max Daniels
Tyler Maunu
Paul Hand
OTDiffM
69
72
0
07 Oct 2021
Generative Modeling with Optimal Transport Maps
Generative Modeling with Optimal Transport Maps
Litu Rout
Alexander Korotin
Evgeny Burnaev
OTDiffM
195
70
0
06 Oct 2021
Reversible Gromov-Monge Sampler for Simulation-Based Inference
Reversible Gromov-Monge Sampler for Simulation-Based Inference
Y. Hur
Wenxuan Guo
Tengyuan Liang
66
9
0
28 Sep 2021
Entropic estimation of optimal transport maps
Entropic estimation of optimal transport maps
Aram-Alexandre Pooladian
Jonathan Niles-Weed
OT
112
108
0
24 Sep 2021
Neural Monge Map estimation and its applications
Neural Monge Map estimation and its applications
JiaoJiao Fan
Shu Liu
Shaojun Ma
Haomin Zhou
Yongxin Chen
OT
120
27
0
07 Jun 2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2
  Benchmark
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Alexander Korotin
Lingxiao Li
Aude Genevay
Justin Solomon
Alexander N. Filippov
Evgeny Burnaev
OT
162
89
0
03 Jun 2021
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and
  Costs
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
M. Scetbon
Gabriel Peyré
Marco Cuturi
OT
65
61
0
02 Jun 2021
Online Graph Dictionary Learning
Online Graph Dictionary Learning
Cédric Vincent-Cuaz
Titouan Vayer
Rémi Flamary
Marco Corneli
Nicolas Courty
68
46
0
12 Feb 2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax
  Optimization
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
Alexander Korotin
Lingxiao Li
Justin Solomon
Evgeny Burnaev
129
54
0
02 Feb 2021
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Hongteng Xu
Dixin Luo
Lawrence Carin
H. Zha
99
33
0
10 Dec 2020
A contribution to Optimal Transport on incomparable spaces
A contribution to Optimal Transport on incomparable spaces
Titouan Vayer
OT
62
20
0
09 Nov 2020
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and
  Relaxation
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
Thibault Séjourné
François-Xavier Vialard
Gabriel Peyré
OT
86
71
0
09 Sep 2020
Graph Optimal Transport for Cross-Domain Alignment
Graph Optimal Transport for Cross-Domain Alignment
Liqun Chen
Zhe Gan
Yu Cheng
Linjie Li
Lawrence Carin
Jingjing Liu
OT
106
152
0
26 Jun 2020
Generalized Spectral Clustering via Gromov-Wasserstein Learning
Generalized Spectral Clustering via Gromov-Wasserstein Learning
Samir Chowdhury
Tom Needham
60
54
0
07 Jun 2020
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
Evgeny Burnaev
GAN
215
109
0
28 Sep 2019
Optimal transport mapping via input convex neural networks
Optimal transport mapping via input convex neural networks
Ashok Vardhan Makkuva
Amirhossein Taghvaei
Sewoong Oh
Jason D. Lee
OT
72
202
0
28 Aug 2019
Sliced Gromov-Wasserstein
Sliced Gromov-Wasserstein
Titouan Vayer
Rémi Flamary
Romain Tavenard
Laetitia Chapel
Nicolas Courty
OT
69
100
0
24 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Hongteng Xu
Dixin Luo
Lawrence Carin
64
197
0
18 May 2019
Interpolating between Optimal Transport and MMD using Sinkhorn
  Divergences
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy
Thibault Séjourné
François-Xavier Vialard
S. Amari
A. Trouvé
Gabriel Peyré
OT
70
532
0
18 Oct 2018
Gromov-Wasserstein Alignment of Word Embedding Spaces
Gromov-Wasserstein Alignment of Word Embedding Spaces
David Alvarez-Melis
Tommi Jaakkola
OT
56
328
0
31 Aug 2018
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
Edouard Grave
Armand Joulin
Quentin Berthet
79
199
0
29 May 2018
Optimal Transport for structured data with application on graphs
Optimal Transport for structured data with application on graphs
Titouan Vayer
Laetitia Chapel
Rémi Flamary
R. Tavenard
Nicolas Courty
OT
75
274
0
23 May 2018
Improving GANs Using Optimal Transport
Improving GANs Using Optimal Transport
Tim Salimans
Han Zhang
Alec Radford
Dimitris N. Metaxas
OTGAN
76
324
0
15 Mar 2018
Optimal Transport for Multi-source Domain Adaptation under Target Shift
Optimal Transport for Multi-source Domain Adaptation under Target Shift
I. Redko
Nicolas Courty
Rémi Flamary
D. Tuia
OOD
38
142
0
13 Mar 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
237
2,151
0
01 Mar 2018
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
296
1,662
0
11 Oct 2017
BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages
BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages
Benjamin Heinzerling
Michael Strube
66
232
0
05 Oct 2017
FastText.zip: Compressing text classification models
FastText.zip: Compressing text classification models
Armand Joulin
Edouard Grave
Piotr Bojanowski
Matthijs Douze
Hervé Jégou
Tomas Mikolov
MQ
96
1,216
0
12 Dec 2016
Optimal spectral transportation with application to music transcription
Optimal spectral transportation with application to music transcription
Rémi Flamary
Cédric Févotte
Nicolas Courty
Valentin Emiya
OT
61
34
0
30 Sep 2016
Stochastic Optimization for Large-scale Optimal Transport
Stochastic Optimization for Large-scale Optimal Transport
Aude Genevay
Marco Cuturi
Gabriel Peyré
Francis R. Bach
OT
85
469
0
27 May 2016
Optimal Transport for Domain Adaptation
Optimal Transport for Domain Adaptation
Nicolas Courty
Rémi Flamary
D. Tuia
A. Rakotomamonjy
OTOOD
157
1,125
0
02 Jul 2015
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
220
4,294
0
04 Jun 2013
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