Fast Bayesian inversion for high dimensional inverse problems.
Benoit KuglerFlorence ForbesSylvain DoutéPublished in: Stat. Comput. (2022)
Keyphrases
- inverse problems
- image reconstruction
- high dimensional
- emission tomography
- global optimization
- convex optimization
- parameter space
- bayesian networks
- super resolution
- optimization methods
- optimization problems
- high dimensional data
- partial differential equations
- neural network
- dimensionality reduction
- particle swarm optimization
- feature space
- early vision
- graphical models
- edge preserving
- smoothness constraint
- computational complexity
- high quality