Homology-Preserving Dimensionality Reduction via Manifold Landmarking and Tearing

22 June 2018

Papers citing "Homology-Preserving Dimensionality Reduction via Manifold Landmarking and Tearing"

6 / 6 papers shown

Title
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 96 162 0 22 Dec 2022
FibeRed: Fiberwise Dimensionality Reduction of Topologically Complex Data with Vector Bundles Luis Scoccola Jose A. Perea 38 8 0 13 Jun 2022
Topology-Preserving Dimensionality Reduction via Interleaving Optimization Bradley J. Nelson Yuan Luo 57 5 0 31 Jan 2022
Improving Metric Dimensionality Reduction with Distributed Topology Alexander Wagner Elchanan Solomon Paul Bendich 33 12 0 14 Jun 2021
TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data Harish Doraiswamy Julien Tierny Paulo J. S. Silva L. G. Nonato Claudio Silva 47 31 0 03 Sep 2020
Topological Autoencoders Michael Moor Max Horn Bastian Rieck Karsten Borgwardt 139 150 0 03 Jun 2019