Peter Schichtel

According to our database, Peter Schichtel authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles.

Summra Saleem, Muhammad Nabeel Asim, Ludger van Elst, Peter Schichtel, Andreas Dengel

IEEE Access, 2024

2023

Quantifying quality of class-conditional generative models in time series domain.

Alireza Koochali, Maria Walch, Sankrutyayan Thota, Peter Schichtel, Andreas Dengel, Sheraz Ahmed

Appl. Intell., October, 2023

Identifying Trust Regions of Bayesian Neural Networks.

Markus Walker, Marcel Reith-Braun, Peter Schichtel, Mirko Knaak, Uwe D. Hanebeck

Proceedings of the 2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI), 2023

2022

Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination Ability.

Alireza Koochali, Peter Schichtel, Andreas Dengel, Sheraz Ahmed

CoRR, 2022

2020

Conceptual Explanations of Neural Network Prediction for Time Series.

Ferdinand Küsters, Peter Schichtel, Sheraz Ahmed, Andreas Dengel

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Probabilistic Forecasting of Sensory Data With Generative Adversarial Networks - ForGAN.

Alireza Koochali, Peter Schichtel, Andreas Dengel, Sheraz Ahmed

IEEE Access, 2019