Scholar
Michael T. Schaub
Google Scholar ID: FCGOxvYAAAAJ
RWTH Aachen University
Citations & Impact
Citations
5,141
H-index
33
i10-index
54
Publications
20
Co-authors
85
list available
Publications
Resume (English only)
Academic Achievements
- Preprint 'Don’t be afraid of cell complexes' released on arXiv in June 2025
- Two 2025 preprints on arXiv: one on gradient descent training of GNNs, another on sparsification of simplicial complexes
- Paper on learning dynamics on hypergraphs published in Science Advances (May 2024)
- Paper accepted at ICLR 2024 and available on arXiv (April 2024)
- Three papers accepted at ICASSP 2023 (December 2023)
- Three papers accepted at Learning on Graph conference in 2023, one receiving Best Paper Award
- Paper accepted at Asilomar 2023 (December 2023)
- Multiple arXiv preprints on graph learning, optimal transport, microaggregation, spectral properties of Hodge-Laplacian, etc.
Background
- Tenure track assistant professor at RWTH Aachen University, Germany
- Research focuses on the analysis of complex systems abstracted as networks or graphs
- Central interest: studying and integrating multiple levels of organization in complex systems
- Combines bottom-up dynamical models with top-down data-driven approaches
- Uses tools from control theory, dynamical systems, stochastic processes, machine learning, and statistics
