default search action

combined dblp search
author search
venue search
publication search

ask others

"Coupling-based Invertible Neural Networks Are Universal Diffeomorphism ..."

Takeshi Teshima et al. (2020)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2021-01-19

- view
  - electronic edition @ neurips.cc (open access)
- export record
  dblp key:
  - conf/nips/TeshimaITOIS20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/TeshimaITOIS20
Takeshi Teshima, Isao Ishikawa, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama:
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators. NeurIPS 2020

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.