Fig. 5
From: A method for efficient Bayesian optimization of self-assembly systems from scattering data
Comparison of error in predicted parameters for our multi-GP optimization (top) and SNOBFIT (bottom). Both methods use the same training set of 100 randomly sampled inputs, and both return 21 points for evaluation in a subsequent round. In the second round (R2 region) of search, our method recovers 3 points very close to the ground truth, i.e. the same blue square, pink asterisk and purple diamond. Displayed for SNOBFIT are 7 rounds of search in which it fails to recover equally close points