Amine Ketata

Technical University of Munich
Department of Computer Science - I26
Boltzmannstr. 3
85748 Garching b. München
Germany

Room: 00.11.053
Email: a.ketata@tum.de

Research Interests

• Generative models for structured data (tabular data, relational databases, graphs)
• Diffusion models
• Graph machine learning
• Relational deep learning

Publications

• Joint Relational Database Generation via Graph-Conditional Diffusion Models (NeurIPS 2025)
  Mohamed Amine Ketata, David Lüdke, Leo Schwinn, Stephan Günnemann
• Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space (ICLR 2025)
  Mohamed Amine Ketata*, Nicholas Gao*, Johanna Sommer*, Tom Wollschläger, Stephan Günnemann
• Uncertainty Estimation for Molecules: Desiderata and Methods (ICML 2023)
  Tom Wollschläger, Nicholas Gao, Bertrand Charpentier, Mohamed Amine Ketata, Stephan Günnemann
• DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models (MLDD Workshop, ICLR 2023)
  Mohamed Amine Ketata*, Cedrik Laue*, Ruslan Mammadov*, Hannes Stärk, Menghua Wu, Gabriele Corso, Céline Marquet, Regina Barzilay, Tommi S. Jaakkola

For an up-to-date list, visit my Google Scholar.

Background

• 2024 - Present: PhD Candidate, Technical University of Munich
• 2021 - 2024: M.Sc. Robotics, Cognition, Intelligence, Technical University of Munich
• 2018 - 2021: B.Sc. Electrical Engineering, Technical University of Munich