Geometric and structure-aware learning
Developing graph neural networks and representations informed by symmetry and relational structure.
MLS Lab · University of Stuttgart
Research
We develop new machine learning methods and investigate their properties and applications in the natural sciences and engineering.
Generative and probabilistic models
Developing methods for structured generation, probabilistic inference, and efficient sampling.
Machine learning for science and engineering
Developing physics-aware models and neural solvers for partial differential equations, molecular systems, and simulation.
Student research
Information on thesis topics, project work, and supervision.
Theses and research projects