Studying the Space of Persistence Diagrams Using Optimal Partial Transport II
Offered By: Applied Algebraic Topology Network via YouTube
Course Description
Overview
Explore the intersection of optimal transport theory and topological data analysis in this 30-minute conference talk by Vincent Divol and Théo Lacombe. Delve into the second part of their presentation on studying persistence diagrams using optimal partial transport. Discover how viewing persistence diagrams as measures in a space allows for the introduction of a generalized form: Radon measures supported on the upper half plane. Examine the applications of this formalism, including characterizing convergence in the space of persistence diagrams and its implications for continuous linear representations. Gain insights into new results regarding persistence diagrams in random settings, exploring concepts like expected persistence diagrams and associated convergence rates and stability results. Based on the work "Understanding the topology and the geometry of the persistence diagram space via optimal partial transport," this talk bridges theoretical foundations with practical applications in topological data analysis.
Syllabus
Vincent Divol 5/25/20: Studying the space of persistence diagrams using optimal partial transport II
Taught by
Applied Algebraic Topology Network
Related Courses
Topological Data Analysis - New Perspectives on Machine Learning - by Jesse JohnsonOpen Data Science via YouTube Analyzing Point Processes Using Topological Data Analysis
Applied Algebraic Topology Network via YouTube MD Simulations and Machine Learning to Quantify Interfacial Hydrophobicity
Applied Algebraic Topology Network via YouTube Topological Data Analysis of Plant-Pollinator Resource Complexes - Melinda Kleczynski
Applied Algebraic Topology Network via YouTube Hubert Wagner - Topological Data Analysis in Non-Euclidean Spaces
Applied Algebraic Topology Network via YouTube