"Validation of Deep Convolutional Generative Adversarial Networks for High ..."

Florian Rehm et al. (2021)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2023-03-10

- view
  - electronic edition @ ceur-ws.org (open access)
- export record
  dblp key:
  - conf/aaaiss/RehmVBK21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaaiss/RehmVBK21
Florian Rehm, Sofia Vallecorsa, Kerstin Borras, Dirk Krücker:
Validation of Deep Convolutional Generative Adversarial Networks for High Energy Physics Calorimeter Simulations. AAAI Spring Symposium: MLPS 2021

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.