Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems.
Yifei ZongDavid Barajas-SolanoAlexandre M. TartakovskyPublished in: CoRR (2023)
Keyphrases
- inverse problems
- machine learning
- high dimensional
- image reconstruction
- global optimization
- parameter space
- convex optimization
- computer science
- optimization methods
- optimization problems
- emission tomography
- partial differential equations
- computer vision
- early vision
- pattern recognition
- dimensionality reduction
- evolutionary algorithm
- smoothness constraint
- optimization algorithm
- pairwise
- feature space
- optimal solution