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01/13/2023
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows
The ability to replicate predictions by machine learning (ML) or artific...
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05/18/2022
Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels
A Gaussian Process (GP) is a prominent mathematical framework for stocha...
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03/13/2021
Problem-fluent models for complex decision-making in autonomous materials research
We review our recent work in the area of autonomous materials research, ...
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08/06/2015
