Dominik Fuchsgruber

Dominik Fuchsgruber is a PhD Student at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology and the Department of Computer Science. His research focuses on uncertainty estimation in machine learning models and spatio-temporal deep learning applications.

• Educational background: M.Sc. and B.Sc. in Informatics from TUM, with an exchange semester at ETH Zürich
• Research experience: PhD work at TUM, internships at University of Alberta and Fraunhofer ESK

Research Highlights:

• Developed energy-based uncertainty estimation frameworks for graph neural networks
• Created orientation-equivariant graph neural networks for edge signal analysis
• Contributions to efficient inference methods in large-scale machine learning

Laboratory Affiliation: Part of the Data Analytics and Machine Learning group led by Prof. Dr. Stephan Günnemann at TUM.