Scalable Bayesian Optimization of Composite Functions for Image-Based Inverse Problems in Materials Characterization
Under a budget of 50 simulator evaluations, SBOCF outperformed standard Bayesian optimization with expected improvement on synthetic SrTiO3 benchmarks with thick and thin specimens, reducing the median final SSE by up to 290x in the thick-sample case.
Da-Woon Yoon, Poompol Buathong, Chia-Hao Lee et al.
· 0 citations