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Learning High Dimensional Wasserstein Geodesics

Learning High Dimensional Wasserstein Geodesics

5 February 2021
Shu Liu
Shaojun Ma
Yongxin Chen
H. Zha
Haomin Zhou
ArXivPDFHTML

Papers citing "Learning High Dimensional Wasserstein Geodesics"

6 / 6 papers shown
Title
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
Zhenyi Zhang
Tiejun Li
Peijie Zhou
OT
143
6
0
01 Oct 2024
A Computational Framework for Solving Wasserstein Lagrangian Flows
A Computational Framework for Solving Wasserstein Lagrangian Flows
Kirill Neklyudov
Rob Brekelmans
Alexander Tong
Lazar Atanackovic
Qiang Liu
Alireza Makhzani
OT
37
18
0
16 Oct 2023
Generative Modeling with Optimal Transport Maps
Generative Modeling with Optimal Transport Maps
Litu Rout
Alexander Korotin
Evgeny Burnaev
OT
DiffM
122
65
0
06 Oct 2021
Mean Field Game GAN
Mean Field Game GAN
Shaojun Ma
Haomin Zhou
H. Zha
GAN
AI4CE
22
0
0
14 Mar 2021
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
E. Burnaev
GAN
128
100
0
28 Sep 2019
Regularized Optimal Transport and the Rot Mover's Distance
Regularized Optimal Transport and the Rot Mover's Distance
Arnaud Dessein
Nicolas Papadakis
Jean-Luc Rouas
OT
56
84
0
20 Oct 2016
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