145 citations · 208 across the 11 of their papers we have counts for
5 papers · 1 filter
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data
Yuqicheng Zhu, Mohamed-Ali Tnani, Timo Jahnz +1
The paucity of labeled data is a typical challenge in the automotive industry. Annotating time-series measurements requires solid domain knowledge and in-depth exploratory data ana…
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation
Martin Gottwald, Sven Gronauer, Hao Shen +1
Recent development of Deep Reinforcement Learning (DRL) has demonstrated superior performance of neural networks in solving challenging problems with large or even continuous state…
Interpretable PID Parameter Tuning for Control Engineering using General Dynamic Neural Networks: An Extensive Comparison
Johannes Günther, Elias Reichensdörfer, Patrick M. Pilarski +1
Modern automation systems rely on closed loop control, wherein a controller interacts with a controlled process, based on observations. These systems are increasingly complex, yet…
A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts
Michael Koller, Johannes Feldmaier, Klaus Diepold
This report first provides a brief overview of a number of supervised learning algorithms for regression tasks. Among those are neural networks, regression trees, and the recently…
Analysis Operator Learning and Its Application to Image Reconstruction
Simon Hawe, Martin Kleinsteuber, Klaus Diepold
Exploiting a priori known structural information lies at the core of many image reconstruction methods that can be stated as inverse problems. The synthesis model, which assumes th…