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The decomposition of the higher-order homology embedding constructed
  from the $k$-Laplacian
v1v2v3 (latest)

The decomposition of the higher-order homology embedding constructed from the kkk-Laplacian

23 July 2021
Yu-Chia Chen
M. Meilă
ArXiv (abs)PDFHTML

Papers citing "The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian"

14 / 14 papers shown
Title
Large sample spectral analysis of graph-based multi-manifold clustering
Large sample spectral analysis of graph-based multi-manifold clustering
Nicolas García Trillos
Pengfei He
Chenghui Li
122
6
0
28 Jul 2021
A class of network models recoverable by spectral clustering
A class of network models recoverable by spectral clustering
Yali Wan
M. Meilă
58
12
0
21 Apr 2021
Helmholtzian Eigenmap: Topological feature discovery & edge flow
  learning from point cloud data
Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data
Yu-Chia Chen
Weicheng Wu
M. Meilă
Ioannis G. Kevrekidis
44
12
0
13 Mar 2021
Principled Simplicial Neural Networks for Trajectory Prediction
Principled Simplicial Neural Networks for Trajectory Prediction
T. Roddenberry
Nicholas Glaze
Santiago Segarra
3DPC
99
93
0
19 Feb 2021
Evaluating the Disentanglement of Deep Generative Models through
  Manifold Topology
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
Sharon Zhou
E. Zelikman
F. Lu
A. Ng
Gunnar Carlsson
Stefano Ermon
DRL
59
27
0
05 Jun 2020
A Notion of Harmonic Clustering in Simplicial Complexes
A Notion of Harmonic Clustering in Simplicial Complexes
Stefania Ebli
Gard Spreemann
46
17
0
16 Oct 2019
Graph-based Semi-Supervised & Active Learning for Edge Flows
Graph-based Semi-Supervised & Active Learning for Edge Flows
Junteng Jia
Michael T. Schaub
Santiago Segarra
Austin R. Benson
110
77
0
17 May 2019
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
205
9,492
0
09 Feb 2018
Improved graph Laplacian via geometric self-consistency
Improved graph Laplacian via geometric self-consistency
Dominique C. Perrault-Joncas
M. Meilă
53
18
0
31 May 2014
A useful variant of the Davis--Kahan theorem for statisticians
A useful variant of the Davis--Kahan theorem for statisticians
Yi Yu
Tengyao Wang
R. Samworth
105
578
0
04 May 2014
The geometry of kernelized spectral clustering
The geometry of kernelized spectral clustering
Geoffrey Schiebinger
Martin J. Wainwright
Bin Yu
99
63
0
29 Apr 2014
An Analysis of the Convergence of Graph Laplacians
An Analysis of the Convergence of Graph Laplacians
Daniel Ting
Ling Huang
Michael I. Jordan
99
145
0
28 Jan 2011
Statistical ranking and combinatorial Hodge theory
Statistical ranking and combinatorial Hodge theory
Xiaoye Jiang
Lek-Heng Lim
Yuan Yao
Yinyu Ye
121
372
0
07 Nov 2008
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
290
10,550
0
01 Nov 2007
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