29 citations · 36 across the 4 of their papers we have counts for
5 papers
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…
Playing Ping Pong with Light: Directional Emission of White Light
Heribert Wankerl, Christopher Wiesmann, Laura Kreiner +5
Over the last decades, light-emitting diodes (LED) have replaced common light bulbs in almost every application, from flashlights in smartphones to automotive headlights. Illuminat…
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…
Rethinking Fully Convolutional Networks for the Analysis of Photoluminescence Wafer Images
Maike Lorena Stern, Hans Lindberg, Klaus Meyer-Wegener
The manufacturing of light-emitting diodes is a complex semiconductor-manufacturing process, interspersed with different measurements. Among the employed measurements, photolumines…
Fully Convolutional Networks for Chip-wise Defect Detection Employing Photoluminescence Images
Maike Lorena Stern, Martin Schellenberger
Efficient quality control is inevitable in the manufacturing of light-emitting diodes (LEDs). Because defective LED chips may be traced back to different causes, a time and cost-in…