Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation

3 June 2020

Papers citing "Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation"

6 / 6 papers shown

Title
Discovering Conservation Laws using Optimal Transport and Manifold Learning Peter Y. Lu Rumen Dangovski M. Soljavcić 27 17 0 31 Aug 2022
Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise Xiuyuan Cheng Boris Landa 33 3 0 22 Jun 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
Sinkformers: Transformers with Doubly Stochastic Attention Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 32 77 0 22 Oct 2021
Manifold learning with arbitrary norms Joe Kileel Amit Moscovich Nathan Zelesko A. Singer 50 25 0 28 Dec 2020
Lipschitz regularity of graph Laplacians on random data clouds Jeff Calder Nicolas García Trillos M. Lewicka 25 30 0 13 Jul 2020