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Learning Ultrametric Trees for Optimal Transport Regression

Learning Ultrametric Trees for Optimal Transport Regression

21 October 2022
Samantha Chen
Puoya Tabaghi
Yusu Wang
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Papers citing "Learning Ultrametric Trees for Optimal Transport Regression"

3 / 3 papers shown
Title
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Y. Lin
Ronald R. Coifman
Gal Mishne
Ronen Talmon
38
2
0
28 Oct 2024
An Empirical Study of Self-supervised Learning with Wasserstein Distance
An Empirical Study of Self-supervised Learning with Wasserstein Distance
Makoto Yamada
Yuki Takezawa
Guillaume Houry
Kira Michaela Dusterwald
Deborah Sulem
Han Zhao
Yao-Hung Hubert Tsai
19
1
0
16 Oct 2023
Approximating 1-Wasserstein Distance with Trees
Approximating 1-Wasserstein Distance with Trees
M. Yamada
Yuki Takezawa
Ryoma Sato
Hang Bao
Zornitsa Kozareva
Sujith Ravi
39
8
0
24 Jun 2022
1