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03/03/2023
Interpretable Architecture Neural Networks for Function Visualization
In many scientific research fields, understanding and visualizing a blac...
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11/04/2022
Fully Bayesian inference for latent variable Gaussian process models
Real engineering and scientific applications often involve one or more q...
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06/22/2022
Diversity Subsampling: Custom Subsamples from Large Data Sets
Subsampling from a large data set is useful in many supervised learning ...
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12/21/2020
Nonstationarity Analysis of Materials Microstructures via Fisher Score Vectors
Microstructures are critical to the physical properties of materials. St...
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12/12/2020
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors
Supervised learning models are one of the most fundamental classes of mo...
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06/19/2018
