Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks.
Shiwei LanShuyi LiBabak ShahbabaPublished in: SIAM/ASA J. Uncertain. Quantification (2022)
Keyphrases
- inverse problems
- neural network
- image reconstruction
- global optimization
- convex optimization
- decision theory
- optimization problems
- pattern recognition
- optimization methods
- bayesian networks
- emission tomography
- early vision
- partial differential equations
- particle swarm optimization
- computationally efficient
- motion estimation
- image analysis
- object recognition
- objective function