Marvin Brune
Scientific Researcher
Area of Research:
- Machine learning and Deep learning
- Deep Generative Modelling and Big Data
- Reinforcement learning
- Artificial Intelligence in Industry and Manufacturing
Biography
Marvin Brune has been a research associate at the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal since May 2024.
Mr. Brune studied physics at the Carl von Ossietzky University of Oldenburg with a focus on machine learning and psychoacoustics. In his master thesis he worked on the application of effective clustering algorithms to large datasets using AI models. At TMDT he focuses on deep reinforcement learning in industry with a focus on production planning and robotics.
Publications
5.
Brune, Marvin; Meisen, Tobias; Pomp, André
Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization
Applied Sciences, 14 (6) :2267
20244.
Brune, Marvin; Meisen, Tobias; Pomp, André
Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization
Applied Sciences, 14 (6) :2267
20243.
Brune, Marvin; Meisen, Tobias; Pomp, André
Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization
Applied Sciences, 14 (6) :2267
20242.
Brune, Marvin; Meisen, Tobias; Pomp, André
Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization
Applied Sciences, 14 (6) :2267
20241.
Brune, Marvin; Meisen, Tobias; Pomp, André
Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization
Applied Sciences, 14 (6) :2267
2024
