Peter Schichtel

According to our database1, Peter Schichtel authored at least 5 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles.
IEEE Access, 2024

2023
Quantifying quality of class-conditional generative models in time series domain.
Appl. Intell., October, 2023

2022
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination Ability.
CoRR, 2022

2020
Conceptual Explanations of Neural Network Prediction for Time Series.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Probabilistic Forecasting of Sensory Data With Generative Adversarial Networks - ForGAN.
IEEE Access, 2019


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