2 papers
stat.ME2025
Conformal Anomaly Detection for Functional Data with Elastic Distance Metrics
Jason Adams, Brandon Berman, Joshua Michalenko +1
This paper considers the problem of outlier detection in functional data analysis focusing particularly on the more difficult case of shape outliers. We present an inductive confor…
cs.LG2023
Comparing the quality of neural network uncertainty estimates for classification problems
Daniel Ries, Joshua Michalenko, Tyler Ganter +2
Traditional deep learning (DL) models are powerful classifiers, but many approaches do not provide uncertainties for their estimates. Uncertainty quantification (UQ) methods for DL…