Topology Meets XAI

Deep learning models are trained on massive datasets, yet their learned representations remain largely opaque. This talk explores how topological data analysis and visualization, particularly mapper graphs, can reveal structure within high-dimensional embedding spaces.

Dr. Bei Wang Phillips is an Associate Professor in the School of Computing, an Adjunct Associate Professor in Mathematics, and a faculty member of the Scientific Computing and Imaging Institute at the University of Utah. Her research spans topological data analysis, data visualization, and computational topology.