Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 01, 2023
Source ID
10.1016/j.jcp.2022.111902

Entities

People

  • Apostolos F. Psaros
  • George Karniadakis
  • Ling Guo
  • Xuhui Meng
  • Zongren Zou

Organizations

  • Air Force Office of Scientific Research
  • Office of the Secretary of Defense
  • United States Department of Energy

Tags

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks