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06/09/2023
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Uncertainty quantification (UQ) is important for reliability assessment ...
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06/09/2022
Evaluating Aleatoric Uncertainty via Conditional Generative Models
Aleatoric uncertainty quantification seeks for distributional knowledge ...
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06/09/2022
Cardiac Adipose Tissue Segmentation via Image-Level Annotations
Automatically identifying the structural substrates underlying cardiac a...
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01/31/2022
Generalized Bayesian Upper Confidence Bound with Approximate Inference for Bandit Problems
Bayesian bandit algorithms with approximate inference have been widely u...
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10/23/2021
Quantifying Epistemic Uncertainty in Deep Learning
Uncertainty quantification is at the core of the reliability and robustn...
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02/26/2021
Learning Prediction Intervals for Regression: Generalization and Calibration
We study the generation of prediction intervals in regression for uncert...
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01/31/2021