Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems.
Terrence AlsupBenjamin PeherstorferPublished in: SIAM/ASA J. Uncertain. Quantification (2023)
Keyphrases
- importance sampling
- context aware
- inverse problems
- monte carlo
- markov chain monte carlo
- posterior distribution
- sequential monte carlo
- context awareness
- markov chain
- kalman filter
- image reconstruction
- mobile devices
- particle filter
- global optimization
- approximate inference
- convex optimization
- context aware systems
- bayesian framework
- particle filtering
- smoothness constraint
- bayesian inference
- partial differential equations
- optimization problems
- image processing
- generative model
- simulated annealing
- optimal solution