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09/18/2023
Application-driven Validation of Posteriors in Inverse Problems
Current deep learning-based solutions for image analysis tasks are commo...
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10/21/2022
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition
Reliably estimating the uncertainty of a prediction throughout the model...
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03/15/2022
Trustworthy Deep Learning via Proper Calibration Errors: A Unifying Approach for Quantifying the Reliability of Predictive Uncertainty
With model trustworthiness being crucial for sensitive real-world applic...
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12/20/2020
