From Layers to Networks: Comparing Neural Representations via Diffusion Geometry

Atharva Khandait, Jan E. Gerken

Diffusion geometry is a manifold learning framework that uses random walks defined by Markov transition matrices to characterize the geometry of a dataset at multiple scales. We us…