arxiv
PublishedJune 18, 2026 at 4:00 AM
—neutral
A Human-in-the-Loop Bayesian Optimization Framework for Constraint-Aware Bioprocess Development
Publisher summary· verbatim
arXiv:2606.19230v1 Announce Type: new Abstract: This work presents an extension to Pareto Front Guided Sampling (PFGS), a Human-in-the-Loop (HitL) Bayesian Optimization (BO) framework in which Gaussian process (GP) surrogate-derived quantities are reformulated as objectives of a multi-objective opti
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Originally published on arxiv ↗