Maximum-likelihood Estimators in Physics-Informed Neural Networks for High-dimensional Inverse Problems.
Gabriel S. GusmãoAndrew J. MedfordPublished in: CoRR (2023)
Keyphrases
- inverse problems
- maximum likelihood
- high dimensional
- neural network
- image reconstruction
- global optimization
- convex optimization
- parameter space
- maximum likelihood estimator
- optimization problems
- emission tomography
- maximum a posteriori
- dimensionality reduction
- pattern recognition
- optimization methods
- smoothness constraint
- early vision
- expectation maximization
- high order
- feature space
- computationally expensive
- partial differential equations
- particle swarm optimization
- feature selection