M.Sc. Michael Brunner
Wissenschaftlicher Mitarbeiter, Doktorand
+49 7121 271 4041
Michael.Brunner@reutlingen-university.de
Gebäude 9, Raum 132
- Machine Learning
- Computer Vision
- Transfer Learning
- Domain Adaptation
- Holistic and Adaptive Interface Design for Human-Technology Interactions (HEIDI): heidi-project.eu
- Human-centered Interactive Artificial Intelligence Data-Incubation Center (AIDA)
- M. Brunner (geb. Essich), M. Rehmann and C. Curio, "Auxiliary Task-Guided CycleGAN for Black-Box Model Domain Adaptation," 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2023, pp. 541-550, doi: 10.1109/WACV56688.2023.00061.
- Y. Uhlmann, M. Brunner (geb. Essich), L. Bramlage, J. Scheible, and C. Curio, “Procedural- and Reinforcement-Learning-Based Automation Methods for Analog Integrated Circuit Sizing in the Electrical Design Space,” Electronics, vol. 12, no. 2, p. 302, Jan. 2023, doi: 10.3390/electronics12020302.
- Y. Uhlmann, M. Brunner (geb. Essich), L. Bramlage, J. Scheible and C. Curio, "Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards," 2022 ACM/IEEE 4th Workshop on Machine Learning for CAD (MLCAD), UT, USA, 2022, pp. 21-26, doi: 10.1109/MLCAD55463.2022.9900083.
- Y. Uhlmann, M. Brunner (geb. Essich), M. Schweikardt, J. Scheible and C. Curio, "Machine Learning Based Procedural Circuit Sizing and DC Operating Point Prediction," SMACD / PRIME 2021; International Conference on SMACD and 16th Conference on PRIME, online, 2021, pp. 1-4.
- M. Brunner (geb. Essich), D. Ludl, T. Gulde and C. Curio, "Learning to Translate Between Real World and Simulated 3D Sensors While Transferring Task Models," 2019 International Conference on 3D Vision (3DV), Quebec City, QC, Canada, 2019, pp. 681-689, doi: 10.1109/3DV.2019.00080.
