Research Group Stefan Bauer
Stefan Bauer
Prof. Dr.
Principal Investigator
Stefan Bauer
is an Associate Professor of Algorithmic Machine Learning & Explainable AI at TU Munich and senior PI at Helmholtz AI.
He works on developing algorithms that learn causal relationships from high-dimensional inputs, explain their decisions, and adapt quickly to new problems. All these requirements are key prerequisites for robust and transformative AI-based technologies with various downstream applications.
Team members @MCML
PostDocs
Andrea Dittadi
Dr.
→ Group Stefan Bauer
Algorithmic Machine Learning & Explainable AI
PhD Students
Emmanouil Angelis
→ Group Stefan Bauer
Algorithmic Machine Learning & Explainable AI
Vincent Pauline
→ Group Stefan Bauer
Algorithmic Machine Learning & Explainable AI
Recent News @MCML
Publications @MCML
2025
Does Data Scaling Lead to Visual Compositional Generalization?
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL GitHub
Causal machine learning for single-cell genomics.
Nature Genetics. Mar. 2025. DOI
A scalable gene network model of regulatory dynamics in single cells.
Preprint (Mar. 2025). arXiv
Biases in machine-learning models of human single-cell data.
Nature Cell Biology. Feb. 2025. DOI
2024
Challenges in Explaining Representational Similarity through Identifiability.
UniReps @NeurIPS 2024 - 2nd Workshop on Unifying Representations in Neural Models at the 37th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
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