Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms.
Matthew HoldenMarcelo PereyraKonstantinos C. ZygalakisPublished in: CoRR (2021)
Keyphrases
- data driven
- neural network
- benchmark datasets
- methods outperform
- computational cost
- computationally expensive
- significant improvement
- efficient optimization
- machine learning methods
- optimization methods
- methods require
- linear algebra
- computationally intensive
- learning algorithm
- synthetic and real datasets
- preprocessing
- heuristic methods
- monte carlo methods
- search methods
- mathematical models
- bayesian approaches
- mathematical foundations
- neural nets
- machine learning algorithms
- maximum likelihood
- prior knowledge
- computational complexity
- pattern recognition
- data structure
- bayesian networks
- feature selection
- genetic algorithm
- machine learning