Bayesian and variational Bayesian approaches for flows in heterogeneous random media

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 01, 2017
Source ID
10.1016/j.jcp.2017.04.034

Entities

People

  • Bani K. Mallick
  • Keren Yang
  • Nilabja Guha
  • Yalchin Efendiev

Organizations

  • National Science Foundation
  • Office of Advanced Scientific Computing Research
  • Qatar National Research Fund
  • United States Department of Defense
  • United States Department of Energy

Tags

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms