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Convergence of Graph Laplacian with kNN Self-tuned Kernels
v1v2 (latest)

Convergence of Graph Laplacian with kNN Self-tuned Kernels

3 November 2020
Xiuyuan Cheng
Hau‐Tieng Wu
ArXiv (abs)PDFHTML

Papers citing "Convergence of Graph Laplacian with kNN Self-tuned Kernels"

6 / 6 papers shown
Title
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Zheng Dong
Zekai Fan
Shixiang Zhu
DiffM
112
4
0
21 May 2023
Strong uniform convergence of Laplacians of random geometric and
  directed kNN graphs on compact manifolds
Strong uniform convergence of Laplacians of random geometric and directed kNN graphs on compact manifolds
Hélene Guérin
Dinh-Toan Nguyen
Viet Tran
121
2
0
20 Dec 2022
The Manifold Scattering Transform for High-Dimensional Point Cloud Data
The Manifold Scattering Transform for High-Dimensional Point Cloud Data
Joyce A. Chew
H. Steach
Siddharth Viswanath
Hau‐Tieng Wu
M. Hirn
Deanna Needell
Smita Krishnaswamy
Michael Perlmutter
3DPC
65
13
0
21 Jun 2022
Clustering dynamics on graphs: from spectral clustering to mean shift
  through Fokker-Planck interpolation
Clustering dynamics on graphs: from spectral clustering to mean shift through Fokker-Planck interpolation
Katy Craig
Nicolas García Trillos
D. Slepčev
30
6
0
18 Aug 2021
LDLE: Low Distortion Local Eigenmaps
LDLE: Low Distortion Local Eigenmaps
Dhruv Kohli
A. Cloninger
Zhengchao Wan
107
18
0
26 Jan 2021
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold
  heat interpolation
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation
Xiuyuan Cheng
Nan Wu
120
29
0
25 Jan 2021
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