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Earthmover-based manifold learning for analyzing molecular conformation
  spaces

Earthmover-based manifold learning for analyzing molecular conformation spaces

16 October 2019
Nathan Zelesko
Amit Moscovich
Joe Kileel
A. Singer
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Earthmover-based manifold learning for analyzing molecular conformation spaces"

6 / 6 papers shown
Title
Alignment of Density Maps in Wasserstein Distance
Alignment of Density Maps in Wasserstein Distance
A. Singer
Ruiyi Yang
69
9
0
21 May 2023
Diffusion Maps for Group-Invariant Manifolds
Diffusion Maps for Group-Invariant Manifolds
Paulina Hoyos
Joe Kileel
50
2
0
28 Mar 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
Manifold learning with arbitrary norms
Manifold learning with arbitrary norms
Joe Kileel
Amit Moscovich
Nathan Zelesko
A. Singer
104
27
0
28 Dec 2020
Wasserstein K-Means for Clustering Tomographic Projections
Wasserstein K-Means for Clustering Tomographic Projections
R. Rao
Amit Moscovich
A. Singer
62
12
0
20 Oct 2020
Product Manifold Learning
Product Manifold Learning
Sharon Zhang
Amit Moscovich
A. Singer
85
14
0
19 Oct 2020
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