Deep Learning, Gaussian Process, Active Learning, Bayesian Optimization.
question then becomes whether we can utilize the information contained in the structural images to guide the spectroscopic measurements in an autonomous fashion. Deep kernel learning (DKL), originally introduced by Andrew Gordon Wilson, can be understood as a hybrid of classical deep neural network