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Characterizing climate pathways using feature importance on echo state networks
This event was a significant stratospheric aerosol injection, which we use as a proxy for an artificial stratospheric aerosol injection.
Comparing the quality of neural network uncertainty estimates for classification problems
We apply these different UQ for DL methods to a hyperspectral image target detection problem and show the inconsistency of the different methods' results and the necessity of a UQ quality metric.
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks
Both MCMC- and VI-trained BNN perform well overall at target detection on a simulated HSI scene.
Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance
fPCA is used to transform the functions to create uncorrelated functional principal components (fPCs).
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