Tag: gaps

BITS for GAPS: Bayesian Information-Theoretic Sampling for hierarchical GAussian Process Surrogates arXiv:2511.16815v1 Announce Type: new Abstract: We introduce the Bayesian Information-Theoretic Sampling for hierarchical GAussian Process Surrogates (BITS for GAPS) framework to emulate latent components in hybrid physical systems. BITS for GAPS supports serial hybrid modeling, where known physics governs part of the system and…