Applications of ML-Based Surrogates in Bayesian Approaches to Inverse Problems.
Pelin ErsinEmma HayesPeter MatthewsParamjyoti MohapatraElisa NegriniKarl SchulzPublished in: CoRR (2023)
Keyphrases
- inverse problems
- bayesian approaches
- image reconstruction
- maximum likelihood
- global optimization
- convex optimization
- gaussian processes
- optimization problems
- optimization methods
- model selection
- bayesian methods
- machine learning
- early vision
- optimization criteria
- computationally expensive
- marginal likelihood
- partial differential equations
- bayesian models
- em algorithm
- smoothness constraint
- parameter space
- cross validation
- optical flow