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Manifold learning with arbitrary norms
v1v2 (latest)

Manifold learning with arbitrary norms

Journal of Fourier Analysis and Applications (JFAA), 2020
28 December 2020
Joe Kileel
Amit Moscovich
Nathan Zelesko
A. Singer
ArXiv (abs)PDFHTMLGithub

Papers citing "Manifold learning with arbitrary norms"

8 / 8 papers shown
Quantization-based Bounds on the Wasserstein Metric
Quantization-based Bounds on the Wasserstein Metric
Jonathan Bobrutsky
Amit Moscovich
207
0
0
01 Jun 2025
Manifold learning in metric spaces
Manifold learning in metric spacesApplied and Computational Harmonic Analysis (ACHA), 2025
Liane Xu
Amit Singer
390
1
0
20 Mar 2025
Multi-label feature selection based on binary hashing learning and dynamic graph constraints
Multi-label feature selection based on binary hashing learning and dynamic graph constraints
Cong Guo
Changqin Huang
Wenhua Zhou
Xiaodi Huang
221
0
0
18 Mar 2025
Alignment of Density Maps in Wasserstein Distance
Alignment of Density Maps in Wasserstein Distance
A. Singer
Ruiyi Yang
363
18
0
21 May 2023
Applications of No-Collision Transportation Maps in Manifold Learning
Applications of No-Collision Transportation Maps in Manifold LearningSIAM Journal on Mathematics of Data Science (SIMODS), 2023
Elisa Negrini
L. Nurbekyan
OT
624
6
0
01 Apr 2023
Discovering Conservation Laws using Optimal Transport and Manifold
  Learning
Discovering Conservation Laws using Optimal Transport and Manifold LearningNature Communications (Nat Commun), 2022
Peter Y. Lu
Rumen Dangovski
M. Soljavcić
327
27
0
31 Aug 2022
Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning
Wassmap: Wasserstein Isometric Mapping for Image Manifold LearningSIAM Journal on Mathematics of Data Science (SIMODS), 2022
Keaton Hamm
Nick Henscheid
Shujie Kang
296
21
0
13 Apr 2022
Product Manifold Learning
Product Manifold LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Sharon Zhang
Amit Moscovich
A. Singer
317
19
0
19 Oct 2020
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