"Neural Persistence: A Complexity Measure for Deep Neural Networks Using ..."

Bastian Rieck et al. (2019)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2022-12-07

- view
  - electronic edition @ openreview.net (open access)
- export record
  dblp key:
  - conf/iclr/RieckTBMHGB19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/RieckTBMHGB19
Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt:
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. ICLR (Poster) 2019

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.