"ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and ..."

Bao Wang, Zuoqiang Shi, Stanley J. Osher (2019)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-09-11

- view
  - electronic edition @ neurips.cc (open access)
  - electronic edition @ nips.cc (open access)
- export record
  dblp key:
  - conf/nips/WangSO19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/WangSO19
Bao Wang, Zuoqiang Shi, Stanley J. Osher:
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies. NeurIPS 2019: 1655-1665

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.