30 citations · 43 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2022★ 30 cited
High-dimensional Bayesian Optimization of Hyperparameters for an Attention-based Network to Predict Materials Property: a Case Study on CrabNet using Ax and SAASBO
Sterling G. Baird, Marianne Liu, Taylor D. Sparks
Expensive-to-train deep learning models can benefit from an optimization of the hyperparameters that determine the model architecture. We optimize 23 hyperparameters of a materials…
cond-mat.mtrl-sci2022★ 13 cited
Data-Driven Materials Discovery and Synthesis using Machine Learning Methods
Sterling G. Baird, Marianne Liu, Hasan M. Sayeed +1
Experimentally [1-38] and computationally [39-50] validated machine learning (ML) articles are sorted based on the size of the training data: 1-100, 101-10000, and 10000+ in a comp…