Maximilian Thiessen
Scholar

Maximilian Thiessen

Google Scholar ID: XO5rGcwAAAAJ
PhD student, TU Wien
Machine LearningLearning TheoryGraph Learning
Citations & Impact
All-time
Citations
156
 
H-index
8
 
i10-index
5
 
Publications
20
 
Co-authors
28
list available
Resume (English only)
Academic Achievements
  • Sep '25: Together with Steve Hanneke and Shay Moran, got a paper on nonuniform PAC learnability accepted to NeurIPS!
  • July '25: New preprint on Efficient Algorithms for Learning and Compressing Monophonic Halfspaces in Graphs with Marco Bressan, Victor Chepoi, and Emmanuel Esposito.
  • May '25: Two papers accepted at COLT 2025!! And will also be presented at HALG 2025. Together with Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, and Shay Moran.
  • Dez '24: Together with Georgy Sokolov, Margarita Akhmejanova, Fabio Vitale, and Francesco Orabona, got our paper Self-Directed Node Classification on Graphs accepted to ALT.
  • Nov '24: Together with Franka Bause, Fabian Jogl, Patrick Indri, Tamara Drucks, David Penz, Nils Kriege, Thomas Gärtner, and Pascal Welke, got our paper Maximally Expressive GNNs for Outerplanar Graphs accepted to TMLR.
  • Sep '24: Together with Stephen Pasteris, Alberto Rumi, Shota Saito, Atsushi Miyauchi, Fabio Vitale, and Mark Herbster, got our paper on (adverserial) contextual bandits with abstention accepted to NeurIPS!
  • Jun '24: Happy to be invited to give a short talk on my research at the Austrian CS day (ACSD).
  • Jan '24: Happy to receive a DOC fellowship of the Austrian Academy of Sciences (ÖAW) to continue my PhD studies for two more years!
  • Nov '23: Two papers accepted at the 2nd LoG conference with Franka Bause (Uni Vienna), Andrei Brasoveanu, Fabian Jogl, and Pascal Welke.
  • Oct '23: Together with Franka Bause (Uni Vienna), Fabian Jogl, Patrick Indri, Tamara Drucks, David Penz, Nils Kriege (Uni Vienna), Thomas Gärtner, and Pascal Welke, got our paper Maximally Expressive GNNs for Outerplanar Graphs accepted as an oral at GLFrontiers@NeurIPS.
  • Sep '23: Together with Fabian Jogl and Thomas Gärtner, got our paper Expressivity-Preserving GNN Simulation accepted to NeurIPS '23!
  • Jul '23: Won a best poster award at G-Research's ICML poster party in London.
  • Mai '23: Together with Pascal Welke, Fabian Jogl, and Thomas Gärtner, got our paper Expectation-Complete Graph Representations with Homomorphisms accepted to ICML '23!
Research Experience
  • Frequently visits and works with the people of the Laila lab in Milan.
Education
  • PhD student at the machine learning research unit of TU Wien, supervised by Thomas Gärtner; previously studied computer science at the University of Bonn under the supervision of Tamás Horváth.
Background
  • Research interests include learning with graphs, active learning, convexity theory, and learning theory.
Miscellany
  • Organized the first Community event for machine learning PhD students in Vienna (C’Est La Wien)!