PhD Student
Michael Brunner (geb. Essich), M.Sc.
Building 9
Room 132Phone +49 7121 271 - 4041
Michael Brunner (geb. Essich), M.Sc.
Building 9 , Room 132
Phone +49 7121 271 - 4041
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I am a PhD student in the cognitive systems research group. Before being part of the cognitive systems research group I studied Media and Communication Computer Science (B.Sc.) and Human-Centered Computing (M.Sc.) at Reutlingen University. My work focuses on machine learning, computer vision, perception and especially the field of domain adaptation.
Publications| 2023 |
Essich M., Rehmann M., Curio C., "Auxiliary Task-Guided CycleGAN for Black-Box Model Domain Adaptation", 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, 2023.
Uhlmann Y. , Brunner M., Bramlage L., Scheible J., and Curio C., "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.
| 2022 |
Uhlmann Y., Essich M., Bramlage L., Scheible J., Curio C., "Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards", Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), Snowbird / Utah, September 2022, pp. 21-26, doi: https://doi.org/10.1145/3551901.3556474.
| 2021 |
Uhlmann Y., Essich M., Schweikardt M., Scheible J., Curio C. (2021) "Machine Learning Based Procedural Circuit Sizing and DC Operating Point Prediction", 17th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), Jul. 19-22 2021.
| 2019 |
Essich M., Ludl D., Gulde T., Curio C. (2019) Learning to Translate Between Real World and Simulated 3D Sensors While Transferring Task Models, In Proceedings of the 7th International Conference on 3D Vision (3DV), Sept. 16-19.
