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Simon Baeuerle
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Journal Articles
- 2024
- [j3]Simon Baeuerle, Marius Gebhardt, Jonas Barth, Ralf Mikut, Andreas Steimer:
Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networks. IEEE Access 12: 17782-17792 (2024) - 2023
- [j2]Moritz Böhland, Roman Bruch, Simon Bäuerle, Luca Rettenberger, Markus Reischl:
Improving Generative Adversarial Networks for Patch-Based Unpaired Image-to-Image Translation. IEEE Access 11: 127895-127906 (2023) - 2021
- [j1]Simon Bäuerle, Moritz Böhland, Jonas Barth, Markus Reischl, Andreas Steimer, Ralf Mikut:
CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units. Autom. 69(10): 880-891 (2021)
Conference and Workshop Papers
- 2018
- [c1]Simon Bäuerle, Lukas Kaul, Tamim Asfour:
Linear Contact Modeling and Stochastic Parameter Optimization for LQR-Based Whole-Body Push Recovery. Humanoids 2018: 224-231
Informal and Other Publications
- 2024
- [i5]Alina Pleli, Simon Baeuerle, Michel Janus, Jonas Barth, Ralf Mikut, Hendrik P. A. Lensch:
Iterative Cluster Harvesting for Wafer Map Defect Patterns. CoRR abs/2404.15436 (2024) - [i4]Simon Baeuerle, Andreas Steimer, Ralf Mikut:
Coverage Path Planning for Thermal Interface Materials. CoRR abs/2405.13512 (2024) - 2023
- [i3]Angelo Jovin Yamachui Sitcheu, Nils Friederich, Simon Baeuerle, Oliver Neumann, Markus Reischl, Ralf Mikut:
MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis. CoRR abs/2309.15521 (2023) - 2022
- [i2]Simon Baeuerle, Marius Gebhardt, Jonas Barth, Andreas Steimer, Ralf Mikut:
Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networks. CoRR abs/2208.04045 (2022) - 2020
- [i1]Simon Baeuerle, Jonas Barth, Elton Renato Tavares de Menezes, Andreas Steimer, Ralf Mikut:
CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings. CoRR abs/2009.12312 (2020)
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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