ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.06679
  4. Cited By
Lipschitz regularity of graph Laplacians on random data clouds
v1v2 (latest)

Lipschitz regularity of graph Laplacians on random data clouds

13 July 2020
Jeff Calder
Nicolas García Trillos
M. Lewicka
ArXiv (abs)PDFHTML

Papers citing "Lipschitz regularity of graph Laplacians on random data clouds"

10 / 10 papers shown
Title
A mean curvature flow arising in adversarial training
A mean curvature flow arising in adversarial training
Leon Bungert
Tim Laux
Kerrek Stinson
AAML
59
4
0
22 Apr 2024
Large data limit of the MBO scheme for data clustering: convergence of
  the dynamics
Large data limit of the MBO scheme for data clustering: convergence of the dynamics
Tim Laux
Jona Lelmi
59
8
0
13 Sep 2022
Learning Low-Dimensional Nonlinear Structures from High-Dimensional
  Noisy Data: An Integral Operator Approach
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach
Xiucai Ding
Rongkai Ma
95
9
0
28 Feb 2022
Hamilton-Jacobi equations on graphs with applications to semi-supervised
  learning and data depth
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth
Jeff Calder
Mahmood Ettehad
111
16
0
17 Feb 2022
Boundary Estimation from Point Clouds: Algorithms, Guarantees and
  Applications
Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications
Jeff Calder
Sangmin Park
D. Slepčev
3DPC
74
10
0
05 Nov 2021
Inferring Manifolds From Noisy Data Using Gaussian Processes
Inferring Manifolds From Noisy Data Using Gaussian Processes
David B. Dunson
Nan Wu
91
18
0
14 Oct 2021
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
42
6
0
18 Aug 2021
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
147
6
0
28 Jul 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
122
29
0
25 Jan 2021
Data-driven Efficient Solvers for Langevin Dynamics on Manifold in High
  Dimensions
Data-driven Efficient Solvers for Langevin Dynamics on Manifold in High Dimensions
Yuan Gao
Jiang Liu
Nan Wu
52
12
0
22 May 2020
1