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08/04/2023
Likelihood-ratio-based confidence intervals for neural networks
This paper introduces a first implementation of a novel likelihood-ratio...
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02/17/2023
Optimal Training of Mean Variance Estimation Neural Networks
This paper focusses on the optimal implementation of a Mean Variance Est...
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02/24/2022
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles
The development of assessment methods for the performance of Automated V...
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02/22/2022
Confident Neural Network Regression with Bootstrapped Deep Ensembles
With the rise of the popularity and usage of neural networks, trustworth...
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07/12/2021
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles
The safety assessment of automated vehicles (AVs) is an important aspect...
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06/07/2021
How to Evaluate Uncertainty Estimates in Machine Learning for Regression?
As neural networks become more popular, the need for accompanying uncert...
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03/24/2021
Extending the Mann-Kendall test to allow for measurement uncertainty
The Mann-Kendall test for trend has gained a lot of attention in a range...
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09/20/2020