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Intrinsic Dimension Estimation Using Wasserstein Distances
v1v2 (latest)

Intrinsic Dimension Estimation Using Wasserstein Distances

8 June 2021
Adam Block
Zeyu Jia
Yury Polyanskiy
Alexander Rakhlin
ArXiv (abs)PDFHTML

Papers citing "Intrinsic Dimension Estimation Using Wasserstein Distances"

4 / 4 papers shown
Title
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Hong Ye Tan
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
105
0
0
13 Aug 2024
Statistical inference of convex order by Wasserstein projection
Statistical inference of convex order by Wasserstein projection
Jakwang Kim
Young-Heon Kim
Yuanlong Ruan
Andrew Warren
97
3
0
05 Jun 2024
Data-Copying in Generative Models: A Formal Framework
Data-Copying in Generative Models: A Formal Framework
Robi Bhattacharjee
S. Dasgupta
Kamalika Chaudhuri
TDI
83
8
0
25 Feb 2023
Discovering Conservation Laws using Optimal Transport and Manifold
  Learning
Discovering Conservation Laws using Optimal Transport and Manifold Learning
Peter Y. Lu
Rumen Dangovski
M. Soljavcić
82
18
0
31 Aug 2022
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