Multilevel Stein variational gradient descent with applications to Bayesian inverse problems.
Terrence AlsupLuca VenturiBenjamin PeherstorferPublished in: CoRR (2021)
Keyphrases
- inverse problems
- image reconstruction
- global optimization
- convex optimization
- optimization methods
- emission tomography
- regularization methods
- image segmentation
- optimization problems
- regularization method
- cost function
- partial differential equations
- objective function
- early vision
- loss function
- bayesian networks
- neural network
- smoothness constraint
- optical flow
- computer vision
- simulated annealing
- wavelet transform
- multi objective
- high dimensional