Alumni, Alumni 2024

Robin Schirrmeister

Postal address
Institut für Informatik
Albert-Ludwigs-Universität Freiburg
Sekretariat Hutter/Maschinelles Lernen
Georges-Köhler-Allee 074
79110 Freiburg, Germany
+49 761 203-74217
Building 74, Room 00-011

Research Interests

Researching machine learning for medicine, in particular:

  • Deep learning for EEG brain-signal decoding
  • Model interpretability for scientific discovery
  • Brain-computer interfaces
  • Automated (EEG) diagnosis


For more information about me, please see my Google Scholar Page and my CV.



Schirrmeister, Robin; Zhou, Yuxuan; Ball, Tonio; Zhang, Dan

Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features Inproceedings

In: Larochelle, H; Ranzato, M; Hadsell, R; Balcan, M F; Lin, H (Ed.): Advances in Neural Information Processing Systems, pp. 21038–21049, Curran Associates, Inc., 2020.


Schirrmeister, R; Chrabąszcz, P; Hutter, F; Ball, T

Training Generative Reversible Networks Inproceedings

In: ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models, 2018.


Schirrmeister, Robin; Springenberg, Jost Tobias; Fiederer, Lukas; Glasstetter, Martin; Eggensperger, Katharina; Tangermann, Michael; Hutter, Frank; Burgard, Wolfram; Ball, Tonio

Deep learning with convolutional neural networks for EEG decoding and visualization Journal Article

In: Human Brain Mapping, vol. 38, pp. 5391–5420, 2017.