Picture for Karl-Philipp Kortmann

Karl-Philipp Kortmann

Leibniz University Hannover

Friction and Road Condition Estimation by Combining Cause- and Effect-Based Methods using Bayesian Networks

Add code
Jul 16, 2024
Viaarxiv icon

Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems

Add code
Apr 08, 2021
Figure 1 for Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems
Figure 2 for Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems
Figure 3 for Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems
Figure 4 for Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems
Viaarxiv icon

Calibration of Model Uncertainty for Dropout Variational Inference

Add code
Jun 20, 2020
Figure 1 for Calibration of Model Uncertainty for Dropout Variational Inference
Figure 2 for Calibration of Model Uncertainty for Dropout Variational Inference
Figure 3 for Calibration of Model Uncertainty for Dropout Variational Inference
Figure 4 for Calibration of Model Uncertainty for Dropout Variational Inference
Viaarxiv icon

Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference

Add code
Oct 01, 2019
Figure 1 for Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
Figure 2 for Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
Figure 3 for Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
Figure 4 for Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
Viaarxiv icon