Explore ZigZag persistence applications for high-dimensional, nonlinear systems like Large Language Models in this 12-minute tutorial by Yuri Gardinazzi from the Applied Algebraic Topology Network. Learn about the statistical methods used to analyze ZigZag's output and how these techniques enhance interpretability and provide deeper insights into complex systems. The tutorial demonstrates practical approaches to applying topological data analysis for understanding sophisticated AI models.
Hands on ZigZag Persistence - Tutorial for High-Dimensional Nonlinear Systems
Applied Algebraic Topology Network via YouTube
Overview
Syllabus
Hands on ZigZag persistence [Yuri Gardinazzi]
Taught by
Applied Algebraic Topology Network
Related Courses
-
Nonlinear Dynamics, High Dimensional Data, and Persistent Homology
-
Understanding Temporal Hypergraph Dynamics with Zigzag Persistence
-
Data Analysis Using Zigzag Persistence for Temporal Hypergraphs
-
Detecting Bifurcations in Dynamical Systems with Zigzag Persistent Homology
-
Universality of Persistence Diagrams and Bottleneck & Wasserstein Distances
-
Algebraic Perspectives of Persistence
