Andreas Steimer

According to our database, Andreas Steimer authored at least 11 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Rapid AI-based generation of coverage paths for dispensing applications.

Simon Baeuerle, Ian F. Mendonca, Kristof Van Laerhoven, Ralf Mikut, Andreas Steimer

CoRR, May, 2025

2024

Coverage Path Planning for Thermal Interface Materials.

Simon Baeuerle, Andreas Steimer, Ralf Mikut

CoRR, 2024

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

2021

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

2020

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

2018

A Neuromorphic VLSI Circuit for Spike-Based Random Sampling.

Chen-Han Chien, Shih-Chii Liu, Andreas Steimer

IEEE Trans. Emerg. Top. Comput., 2018

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

2015

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

2013

Spike-Based Probabilistic Inference in Analog Graphical Models Using Interspike-Interval Coding.

Andreas Steimer, Rodney J. Douglas

Neural Comput., 2013

2012

Neurally inspired models of belief-propagation in arbitrary graphical models.

Andreas Steimer

PhD thesis, 2012

2009

Belief Propagation in Networks of Spiking Neurons.

Andreas Steimer, Wolfgang Maass, Rodney J. Douglas

Neural Comput., 2009