Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks

1 code implementation • 4 Nov 2023 • Longze li, Jiang Chang, Aleksandar Vakanski, Yachun Wang, Tiankai Yao, Min Xian

With the increased use of data-driven approaches and machine learning-based methods in material science, the importance of reliable uncertainty quantification (UQ) of the predicted variables for informed decision-making cannot be overstated.

Active Learning Decision Making +4