Confident Neural Network Regression with Bootstrapped Deep Ensembles. - Laurens Sluijterman; Eric Cator; Tom Heskes (CoRR, 2022)

Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss. - Laurens Sluijterman; Frank Kreuwel; Eric Cator; Tom Heskes (CoRR, 2024)

Optimal training of Mean Variance Estimation neural networks. - Laurens Sluijterman; Eric Cator; Tom Heskes (Neurocomputing, 2024)

How to evaluate uncertainty estimates in machine learning for regression? - Laurens Sluijterman; Eric Cator; Tom Heskes (Neural Networks, 2024)

Likelihood-ratio-based confidence intervals for neural networks. - Laurens Sluijterman; Eric Cator; Tom Heskes (Mach. Learn., 2025)