Small Density Vacuum and How to Find Them Robustly
Offered By: Applied Algebraic Topology Network via YouTube
Course Description
Overview
Explore a novel topological-data-analytical (TDA) method for identifying small density vacuums surrounded by high-density regions in this 30-minute conference talk. Delve into the robust and provable approach, examining its theoretical foundations and practical applications through simulations. Learn about the rigorous bounds on the persistence of these vacuums and gain insights from the collaborative work of Chunyin Siu, Gennady Samorodnitsky, Christina Lee Yu, and Andrey Yao. Access the accompanying preprint and presentation slides for a comprehensive understanding of this innovative TDA technique.
Syllabus
Small Density Vacuum and How to Find Them Robustly [Chunyin Siu]
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