Laurens Sluijterman

According to our database, Laurens Sluijterman authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

How to evaluate uncertainty estimates in machine learning for regression?

Laurens Sluijterman, Eric Cator, Tom Heskes

Neural Networks, 2024

Optimal training of Mean Variance Estimation neural networks.

Laurens Sluijterman, Eric Cator, Tom Heskes

Neurocomputing, 2024

Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss.

Laurens Sluijterman, Frank Kreuwel, Eric Cator, Tom Heskes

CoRR, 2024

2023

Likelihood-ratio-based confidence intervals for neural networks.

Laurens Sluijterman, Eric Cator, Tom Heskes

CoRR, 2023

2022

Confident Neural Network Regression with Bootstrapped Deep Ensembles.

Laurens Sluijterman, Eric Cator, Tom Heskes

CoRR, 2022