Eric Cator

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Generation Method

Kernel Density Estimator

Confidence Intervals

Top Venues

IEEE Trans. Intell. Transp. Syst.

Neural Networks

Publications

Laurens Sluijterman, Eric Cator, Tom Heskes
How to evaluate uncertainty estimates in machine learning for regression? Neural Networks 173 (2024)
O. S. Awolude, Eric Cator, H. Don
The SIS process on Erdös-Rényi graphs: determining the infected fraction. CoRR (2024)
Laurens Sluijterman, Eric Cator, Tom Heskes
Optimal training of Mean Variance Estimation neural networks. Neurocomputing 597 (2024)
Laurens Sluijterman, Frank Kreuwel, Eric Cator, Tom Heskes
Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss. CoRR (2024)
Laurens Sluijterman, Eric Cator, Tom Heskes
Likelihood-ratio-based confidence intervals for neural networks. CoRR (2023)
Laurens Sluijterman, Eric Cator, Tom Heskes
Optimal Training of Mean Variance Estimation Neural Networks. CoRR (2023)
Laurens Sluijterman, Eric Cator, Tom Heskes
Confident Neural Network Regression with Bootstrapped Deep Ensembles. CoRR (2022)
Erwin de Gelder, Jasper Hof, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Jeroen Ploeg, Bart De Schutter
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles. CoRR (2022)
Erwin de Gelder, Jasper Hof, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Jeroen Ploeg, Bart De Schutter
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Laurens Sluijterman, Eric Cator, Tom Heskes
How to Evaluate Uncertainty Estimates in Machine Learning for Regression? CoRR (2021)
Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles. IV Workshops (2021)
Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles. CoRR (2021)