2 papers
cs.LG2025
Cover Learning for Large-Scale Topology Representation
Luis Scoccola, Uzu Lim, Heather A. Harrington
Classical unsupervised learning methods like clustering and linear dimensionality reduction parametrize large-scale geometry when it is discrete or linear, while more modern method…
math.AT2024
Fibers of point cloud persistence
David Beers, Heather A Harrington, Jacob Leygonie +2
Persistent homology (PH) studies the topology of data across multiple scales by building nested collections of topological spaces called filtrations, computing homology and returni…