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Institute for Machine Learning
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Univ. Prof. Mag. Dr. Günter Klambauer

Research Topics

  • Deep Learning & architectures
  • Self-normalizing neural networks & signal propagation theory
  • Machine learning methods for life sciences

Selected Publications

  • Self-Normalizing Neural Networks (2017), Günter Klambauer, Thomas Unterthiner, Andreas Mayr, and Sepp Hochreiter. Advances in Neural Information Processing Systems 30, 972--981. [PDF], opens an external URL in a new window
  • DeepTox: toxicity prediction using deep learning (2016), Andreas Mayr, Günter Klambauer, Thomas Unterthiner, Sepp Hochreiter, Frontiers in Environmental Science, 3:80. doi: 10.3389/fenvs.2015.00080, opens an external URL in a new window
  • xLSTM: Extended Long Short-Term Memory (2024. Beck, M., Pöppel, K., Spanring, M., Auer, A., Prudnikova, O., Kopp, M., .., Klambauer, G. Brandstetter, J. & Hochreiter, S. (2024). arXiv preprint arXiv:2405.04517.

Scientific Awards and Competitions


  • Deep Learning and neural networks I
  • Deep Learning and neural networks II
  • Artificial Intelligence in life sciences
  • Genome analysis and transcriptomics
  • Sequence analysis and phylogenetics
  • Introduction to machine learning
  • Structural bioinformatics