Linear Contact Modeling and Stochastic Parameter Optimization for LQR-Based Whole-Body Push Recovery. - Simon Bäuerle; Lukas Kaul; Tamim Asfour (Humanoids, 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)

Improving Generative Adversarial Networks for Patch-Based Unpaired Image-to-Image Translation. - Moritz Böhland; Roman Bruch; Simon Bäuerle; Luca Rettenberger; Markus Reischl (IEEE Access, 2023)

MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis. - Angelo Jovin Yamachui Sitcheu; Nils Friederich; Simon Baeuerle; Oliver Neumann; Markus Reischl; Ralf Mikut (CoRR, 2023)

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)

Iterative Cluster Harvesting for Wafer Map Defect Patterns. - Alina Pleli; Simon Baeuerle; Michel Janus; Jonas Barth; Ralf Mikut; Hendrik P. A. Lensch (CoRR, 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)

AutoMeet: a proof-of-concept study of genAI to automate meetings in automotive engineering. - Simon Baeuerle; Max Radyschevski; Ulrike Padó (CoRR, 2025)