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Entropic Gromov-Wasserstein between Gaussian Distributions

Entropic Gromov-Wasserstein between Gaussian Distributions

24 August 2021
Khang Le
Dung D. Le
Huy Nguyen
Dat Do
Tung Pham
Nhat Ho
    OT
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Papers citing "Entropic Gromov-Wasserstein between Gaussian Distributions"

13 / 13 papers shown
Title
On Barycenter Computation: Semi-Unbalanced Optimal Transport-based
  Method on Gaussians
On Barycenter Computation: Semi-Unbalanced Optimal Transport-based Method on Gaussians
Ngoc-Hai Nguyen
Dung D. Le
Hoang Nguyen
Tung Pham
Nhat Ho
OT
34
1
0
10 Oct 2024
Relative-Translation Invariant Wasserstein Distance
Relative-Translation Invariant Wasserstein Distance
Binshuai Wang
Qiwei Di
Ming Yin
Mengdi Wang
Quanquan Gu
Peng Wei
27
0
0
04 Sep 2024
Neural Estimation Of Entropic Optimal Transport
Neural Estimation Of Entropic Optimal Transport
Tao Wang
Ziv Goldfeld
OT
33
1
0
10 May 2024
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
D. M. Nguyen
Nina Lukashina
Tai Nguyen
An T. Le
TrungTin Nguyen
Nhat Ho
Jan Peters
Daniel Sonntag
Viktor Zaverkin
Mathias Niepert
33
5
0
03 Feb 2024
Neural Entropic Gromov-Wasserstein Alignment
Neural Entropic Gromov-Wasserstein Alignment
Tao Wang
Ziv Goldfeld
OT
17
2
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
25
4
0
09 Nov 2023
Optimal Transport for Kernel Gaussian Mixture Models
Optimal Transport for Kernel Gaussian Mixture Models
Jung Hun Oh
Rena Elkin
Anish K. Simhal
Jiening Zhu
Joseph O. Deasy
Allen Tannenbaum
OT
30
0
0
28 Oct 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Alexander Kolesov
Petr Mokrov
Igor Udovichenko
Milena Gazdieva
G. Pammer
Anastasis Kratsios
Evgeny Burnaev
Alexander Korotin
OT
37
2
0
02 Oct 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary
  Survey
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey
Abdelwahed Khamis
Russell Tsuchida
Mohamed Tarek
V. Rolland
Lars Petersson
OT
43
12
0
08 May 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
22
15
0
25 Dec 2022
Hybrid Gromov-Wasserstein Embedding for Capsule Learning
Hybrid Gromov-Wasserstein Embedding for Capsule Learning
Pourya Shamsolmoali
Masoumeh Zareapoor
Swagatam Das
Eric Granger
Salvador García
MedIm
24
2
0
01 Sep 2022
Cycle Consistent Probability Divergences Across Different Spaces
Cycle Consistent Probability Divergences Across Different Spaces
Zhengxin Zhang
Youssef Mroueh
Ziv Goldfeld
Bharath K. Sriperumbudur
21
10
0
22 Nov 2021
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs
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
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