593 citations · 992 across the 23 of their papers we have counts for
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3 papers · 1 filter
stat.ME2023★ 3 cited
Stratification of uncertainties recalibrated by isotonic regression and its impact on calibration error statistics
Pascal Pernot
Abstract Post hoc recalibration of prediction uncertainties of machine learning regression problems by isotonic regression might present a problem for bin-based calibration error s…
cs.LG2023★ 3 cited
Properties of the ENCE and other MAD-based calibration metrics
Pascal Pernot
The Expected Normalized Calibration Error (ENCE) is a popular calibration statistic used in Machine Learning to assess the quality of prediction uncertainties for regression proble…
physics.chem-ph2023★ 5 cited
Validation of uncertainty quantification metrics: a primer based on the consistency and adaptivity concepts
Pascal Pernot
The practice of uncertainty quantification (UQ) validation, notably in machine learning for the physico-chemical sciences, rests on several graphical methods (scattering plots, cal…