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07/31/2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
Data uncertainties, such as sensor noise or occlusions, can introduce ir...
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10/10/2021
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models
Providing a metric of uncertainty alongside a state estimate is often cr...
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10/04/2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
The Gumbel-max trick is a method to draw a sample from a categorical dis...
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09/22/2021
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation
Direction of arrival (DoA) estimation is a crucial task in sensor array ...
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07/21/2021
