Belief Propagation in Networks of Spiking Neurons. - Andreas Steimer; Wolfgang Maass 001; Rodney J. Douglas (Neural Comput., 2009)

Neurally inspired models of belief-propagation in arbitrary graphical models. - Andreas Steimer (2012)

Spike-Based Probabilistic Inference in Analog Graphical Models Using Interspike-Interval Coding. - Andreas Steimer; Rodney J. Douglas (Neural Comput., 2013)

Chow-Liu trees are sufficient predictive models for reproducing key features of functional networks of periictal EEG time-series. - Andreas Steimer; Frédéric Zubler; Kaspar Schindler (NeuroImage, 2015)

Hardware Implementation of an Event-Based Message Passing Graphical Model Network. - Chen-Han Chien; Luca Longinotti; Andreas Steimer; Shih-Chii Liu (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

A Neuromorphic VLSI Circuit for Spike-Based Random Sampling. - Chen-Han Chien; Shih-Chii Liu; Andreas Steimer (IEEE Trans. Emerg. Top. Comput., 2018)

CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings. - Simon Baeuerle; Jonas Barth; Elton Renato Tavares de Menezes; Andreas Steimer; Ralf Mikut (CoRR, 2020)

CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units. - Simon Bäuerle; Moritz Böhland; Jonas Barth; Markus Reischl; Andreas Steimer; Ralf Mikut (Autom., 2021)

Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networks. - Simon Baeuerle; Marius Gebhardt; Jonas Barth; Ralf Mikut; Andreas Steimer (IEEE Access, 2024)

Coverage Path Planning for Thermal Interface Materials. - Simon Baeuerle; Andreas Steimer; Ralf Mikut (CoRR, 2024)

Rapid AI-based generation of coverage paths for dispensing applications. - Simon Baeuerle; Ian F. Mendonca; Kristof Van Laerhoven; Ralf Mikut; Andreas Steimer (CoRR, 2025)