CSENG Mathematics, School of
College of Science & Engineering
Twin Cities
College of Science & Engineering
Twin Cities
Project Title:
Taming High Dimensionality and Complexity With Physics Informed Deep Learning
This group is investigating several specific topics under the main theme:
- Developing dimension reduction techniques for the multiscale inverse problem
- Neural network based particle method for high dimensional kinetic equations
- Derivative free ensemble method for Bayesian sampling
- Developing multiscale multi-resolution neural network architectures
Project Investigators
Yan Huang
Dr. Li Wang
Francis Zhang
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