DOE OSTI · code-181165
mmbo (Multi-modal Bayesian Optimization) [SWR-25-119]
Abstract
This package implements Bayesian Neural Network (BNN) based surrogate models for multi-modal data. These models are fit using a custom Variational Bayes procedure leveraging conjugate posteriors in the last layer of the network, offering more accurate predictions with better-calibrated uncertainty quantification than mean-field Variational Bayes.
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Taylor, Ian [National Laboratory of the Rockies (NLR), Golden, CO (United States)], Mueller, Juliane [National Laboratory of the Rockies (NLR), Golden, CO (United States)], Bessac, Julie [National Laboratory of the Rockies (NLR), Golden, CO (United States)]. 2026-04-21. mmbo (Multi-modal Bayesian Optimization) [SWR-25-119]. https://doi.org/10.11578/dc.20260519.1
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