Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs

v1v2 (latest)

Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs

31 October 2022

Sarath Shekkizhar

Javier Ruiz-Hidalgo

ArXiv (abs)PDF HTML

Papers citing "Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs"

5 / 5 papers shown

Title
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs David Bonet Antonio Ortega Javier Ruiz-Hidalgo Sarath Shekkizhar GNN 62 7 0 18 Oct 2021
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 68 16 0 24 May 2018
Estimating the intrinsic dimension of datasets by a minimal neighborhood information Elena Facco M. d’Errico Alex Rodriguez Alessandro Laio 54 327 0 19 Mar 2018
DANCo: Dimensionality from Angle and Norm Concentration C. Ceruti S. Bassis A. Rozza G. Lombardi E. Casiraghi P. Campadelli 75 18 0 18 Jun 2012
Non-Asymptotic Analysis of Tangent Space Perturbation Daniel N. Kaslovsky François G. Meyer 80 22 0 20 Nov 2011