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05/05/2020
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models
Predictive models that accurately emulate complex scientific processes c...
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04/27/2020
Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models
The wide-spread adoption of representation learning technologies in clin...
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02/10/2020
Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration
The hypothesis that sub-network initializations (lottery) exist within t...
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10/30/2019
Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning
The role of uncertainty quantification (UQ) in deep learning has become ...
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10/30/2019
Learn-By-Calibrating: Using Calibration as a Training Objective
Calibration error is commonly adopted for evaluating the quality of unce...
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09/09/2019
