Enabling and interpreting hyper-differential sensitivity analysis for Bayesian inverse problems.
Joseph L. HartBart G. van Bloemen WaandersPublished in: CoRR (2021)
Keyphrases
- sensitivity analysis
- inverse problems
- image reconstruction
- global optimization
- convex optimization
- managerial insights
- optimization problems
- variational inequalities
- influence diagrams
- optimization methods
- emission tomography
- partial differential equations
- early vision
- parameter space
- simulated annealing
- image processing
- cost function
- pairwise
- high dimensional
- optical flow
- smoothness constraint
- multiscale
- particle swarm optimization
- denoising