Characterizing and Measuring the Similarity of Neural Networks with
Persistent Homology

Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology

19 January 2021

David Pérez-Fernández

Asier Gutiérrez-Fandiño

Jordi Armengol-Estapé

Marta Villegas

Papers citing "Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology"

5 / 5 papers shown

Title
Estimating class separability of text embeddings with persistent homology Kostis Gourgoulias Najah F. Ghalyan Maxime Labonne Yash Satsangi Sean J. Moran Joseph Sabelja 40 0 0 24 May 2023
Generalization Bounds with Data-dependent Fractal Dimensions Benjamin Dupuis George Deligiannidis Umut cSimcsekli AI4CE 39 12 0 06 Feb 2023
Some Geometrical and Topological Properties of DNNs' Decision Boundaries Bo Liu Mengya Shen AAML 17 3 0 07 Mar 2020
Path homologies of deep feedforward networks Samir Chowdhury Thomas Gebhart Steve Huntsman Matvey Yutin 19 23 0 16 Oct 2019
Statistical topological data analysis using persistence landscapes Peter Bubenik 114 846 0 27 Jul 2012