Inferring Manifolds From Noisy Data Using Gaussian Processes

14 October 2021

Papers citing "Inferring Manifolds From Noisy Data Using Gaussian Processes"

6 / 6 papers shown

Title
IIKL: Isometric Immersion Kernel Learning with Riemannian Manifold for Geometric Preservation Zihao Chen Wenyong Wang Jiachen Yang Yu Xiang 29 0 0 07 May 2025
Manifold Fitting Z. Yao Jiaji Su Bingjie Li S. Yau 79 3 0 16 Apr 2023
Quadratic Matrix Factorization with Applications to Manifold Learning Zheng Zhai Hengchao Chen Qiang Sun 29 4 0 30 Jan 2023
Manifold Free Riemannian Optimization B. Shustin H. Avron B. Sober 28 2 0 07 Sep 2022
Estimating a density near an unknown manifold: a Bayesian nonparametric approach Clément Berenfeld Paul Rosa Judith Rousseau 50 10 0 31 May 2022
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation Xiuyuan Cheng Nan Wu 55 29 0 25 Jan 2021