Bayesian Surrogate Training on Multiple Data Sources: A Hybrid Modeling Strategy
arXiv:2412.11875v3 Announce Type: replace
Abstract: Surrogate models are often used as computationally efficient approximations to complex simulation models, enabling tasks such as solving inverse problems, sensitivity analysis, and probabilistic forw…