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The embedding dimension of Laplacian eigenfunction maps

The embedding dimension of Laplacian eigenfunction maps

4 May 2016
Jonathan Bates
ArXiv (abs)PDFHTML

Papers citing "The embedding dimension of Laplacian eigenfunction maps"

12 / 12 papers shown
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
Boundary Detection Algorithm Inspired by Locally Linear Embedding
Boundary Detection Algorithm Inspired by Locally Linear Embedding
Pei-Cheng Kuo
Nan Wu
372
0
0
26 Jun 2024
Sketching the Heat Kernel: Using Gaussian Processes to Embed Data
Sketching the Heat Kernel: Using Gaussian Processes to Embed Data
Anna C. Gilbert
Kevin OÑeill
182
0
0
01 Mar 2024
Augmentation Invariant Manifold Learning
Augmentation Invariant Manifold Learning
Shulei Wang
649
2
0
01 Nov 2022
Convergence of Laplacian Eigenmaps and its Rate for Submanifolds with
  Singularities
Convergence of Laplacian Eigenmaps and its Rate for Submanifolds with Singularities
Masayuki Aino
137
2
0
15 Oct 2021
Continuous normalizing flows on manifolds
Continuous normalizing flows on manifolds
Luca Falorsi
BDLAI4CE
260
13
0
14 Mar 2021
Manifold learning with arbitrary norms
Manifold learning with arbitrary normsJournal of Fourier Analysis and Applications (JFAA), 2020
Joe Kileel
Amit Moscovich
Nathan Zelesko
A. Singer
469
29
0
28 Dec 2020
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
Neural Ordinary Differential Equations on Manifolds
Neural Ordinary Differential Equations on Manifolds
Luca Falorsi
Patrick Forré
BDLAI4CE
242
40
0
11 Jun 2020
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
490
14
0
22 May 2020
Selecting the independent coordinates of manifolds with large aspect
  ratios
Selecting the independent coordinates of manifolds with large aspect ratiosNeural Information Processing Systems (NeurIPS), 2019
Yu-Chia Chen
M. Meilă
262
17
0
02 Jul 2019
Connection graph Laplacian methods can be made robust to noise
Connection graph Laplacian methods can be made robust to noise
N. Karoui
Hau‐Tieng Wu
247
22
0
23 May 2014
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