Spectral Convergence of the connection Laplacian from random samples

7 June 2013

Papers citing "Spectral Convergence of the connection Laplacian from random samples"

17 / 17 papers shown

Title
Landmark Alternating Diffusion Sing-Yuan Yeh Hau-tieng Wu Ronen Talmon Mao-Pei Tsui 14 2 0 29 Apr 2024
Consistency of Fractional Graph-Laplacian Regularization in Semi-Supervised Learning with Finite Labels Adrien Weihs Matthew Thorpe 8 2 0 14 Mar 2023
Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise Xiuyuan Cheng Boris Landa 25 3 0 22 Jun 2022
SpecNet2: Orthogonalization-free spectral embedding by neural networks Ziyu Chen Yingzhou Li Xiuyuan Cheng 24 4 0 14 Jun 2022
Understanding the Generalization Performance of Spectral Clustering Algorithms Shaojie Li Shengqi Ouyang Yong Liu 26 2 0 30 Apr 2022
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach Xiucai Ding Rongkai Ma 44 9 0 28 Feb 2022
Lipschitz regularity of graph Laplacians on random data clouds Jeff Calder Nicolas García Trillos M. Lewicka 17 30 0 13 Jul 2020
A metric on directed graphs and Markov chains based on hitting probabilities Z. Boyd Nicolas Fraiman J. Marzuola P. Mucha Braxton Osting J. Weare 21 9 0 25 Jun 2020
Construction and Monte Carlo estimation of wavelet frames generated by a reproducing kernel E. De Vito Ž. Kereta Valeriya Naumova Lorenzo Rosasco Stefano Vigogna 19 3 0 17 Jun 2020
Data-driven Efficient Solvers for Langevin Dynamics on Manifold in High Dimensions Yuan Gao Jiang Liu Nan Wu 21 12 0 22 May 2020
Scalability and robustness of spectral embedding: landmark diffusion is all you need Chao Shen Hau‐Tieng Wu 45 24 0 03 Jan 2020
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs Jeff Calder Nicolas García Trillos 35 40 0 29 Oct 2019
Learning by Unsupervised Nonlinear Diffusion Mauro Maggioni James M. Murphy DiffM 30 40 0 15 Oct 2018
Error estimates for spectral convergence of the graph Laplacian on random geometric graphs towards the Laplace--Beltrami operator Nicolas García Trillos Moritz Gerlach Matthias Hein D. Slepčev 33 172 0 30 Jan 2018
On the Consistency of Graph-based Bayesian Learning and the Scalability of Sampling Algorithms Nicolas García Trillos Zachary T. Kaplan Thabo Samakhoana D. Sanz-Alonso 25 19 0 20 Oct 2017
Latent common manifold learning with alternating diffusion: analysis and applications Ronen Talmon Hau‐Tieng Wu MedIm 21 44 0 30 Jan 2016
A variational approach to the consistency of spectral clustering Nicolas García Trillos D. Slepčev 17 128 0 08 Aug 2015