"Quantifying Robustness: A Benchmarking Framework for Deep Learning ..."

Alexander Windmann et al. (2025)

> Home

Details and statistics

DOI: 10.1109/ETFA65518.2025.11205527

access: closed

type: Conference or Workshop Paper

metadata version: 2025-11-13

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/etfa/WindmannSBN25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/etfa/WindmannSBN25
Alexander Windmann, Henrik S. Steude, Daniel Boschmann, Oliver Niggemann:
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems. ETFA 2025: 1-8

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.