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cs.LG2026
DASyR-LLM: Domain-Aware Symbolic Regression with LLMs for Kinetic Model Discovery
Roberto Aliaga Medina, Paulina Quintanilla, Antonio del Rio Chanona
Kinetic model discovery is a central challenge in chemical engineering, as accurate rate expressions are essential for understanding and controlling chemical and biological process…
cs.LG2026
A Human-in-the-Loop Bayesian Optimization Framework for Constraint-Aware Bioprocess Development
Samuel Stricker, Claus Wirnsperger, Alessandro Butté +4
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-der…