29 citations · 57 across the 7 of their papers we have counts for
4 papers · 1 filter
Quantitative probing: Validating causal models using quantitative domain knowledge
Daniel Grünbaum, Maike L. Stern, Elmar W. Lang
We present quantitative probing as a model-agnostic framework for validating causal models in the presence of quantitative domain knowledge. The method is constructed as an analogu…
Parameterized Reinforcement Learning for Optical System Optimization
Heribert Wankerl, Maike L. Stern, Ali Mahdavi +2
Designing a multi-layer optical system with designated optical characteristics is an inverse design problem in which the resulting design is determined by several discrete and cont…
Electricity Load Forecasting -- An Evaluation of Simple 1D-CNN Network Structures
Christian Lang, Florian Steinborn, Oliver Steffens +1
This paper presents a convolutional neural network (CNN) which can be used for forecasting electricity load profiles 36 hours into the future. In contrast to well established CNN a…
Decomposing Temperature Time Series with Non-Negative Matrix Factorization
Peter Weiderer, Ana Maria Tomé, Elmar Wolfgang Lang
During the fabrication of casting parts sensor data is typically automatically recorded and accumulated for process monitoring and defect diagnosis. As casting is a thermal process…