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Institute for Machine Learning
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Philipp Seidl, MSc

Research Topics

  • Machine Learning for drug discovery
  • Hopfield Networks
  • Transformers
  • Deep Learning and Neural Networks
  • Few-Shot Learning
  • Attention Mechanism

Selected Publications

  •  Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Milena Pavlović, Geir Kjetil Sandve, Victor Greiff, David Kreil, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter (2020). Hopfield Networks is All You Need. arXiv preprint arXiv: [2008.02217] (arxiv.org)
  • Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer, Peter Ruch, Philipp Renz, Johannes Schimunek, Philipp Seidl, Andreu Vall, Michael Widrich, Sepp Hochreiter, Günter Klambauer (2020). “Large-Scale Ligand-Based Virtual Screening for SARS-CoV-2 Inhibitors Using Deep Neural Networks.” arXiv: [PDF] [2004.00979] (arxiv.org)