Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins.
Ankush ChakrabartyGordon WichernChristopher R. LaughmanPublished in: CoRR (2021)
Keyphrases
- computer science
- optimization problems
- network architecture
- physical processes
- bayesian networks
- global optimization
- bayesian inference
- neural model
- efficient optimization
- associative memory
- constrained optimization
- camera calibration
- nonlinear optimization
- posterior probability
- biologically inspired
- calibration method
- maximum likelihood