Lehr- und Forschungseinheit für Datenbanksysteme

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Max Berrendorf

Max Berrendorf

Research Assistant


Ludwig-Maximilians-Universität München
Lehrstuhl für Datenbanksysteme und Data Mining
Oettingenstraße 67
80538 München

Room: F 110
Phone: +49-89-2180-9305

Research Interests

  • Unsupervised Learning
  • Deep Learning
  • Knowledge Graphs


Supervised Theses

  • Nonlinear k-Distance Approximation
  • Memory-Efficient k-Distance Approximation for RkNN Retrieval
  • Optimisation-Based Correlation Clustering Using Hough Transform


  1. Artem Smirnov, Max Berrendorf, Yuri Shprits, Elena A. Kronberg, Hayley J Allison, Nikita A Aseev, Irina S. Zhelavskaya, Steven K. Morley, Geoffrey D. Reeves, Matthew R. Carver, Frederic Effenberger
    "Medium Energy Electron Flux in Earth's Outer Radiation Belt (MERLIN): A Machine Learning Model"
    ESSOAr '20
  2. Max Berrendorf, Evgeniy Faerman, Laurent Vermue, and Volker Tresp.
    "Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank"
    arXiv 2020
  3. Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, and Matthias Schubert.
    "Unsupervised Anomaly Detection for X-Ray Images"
    arXiv 2020
  4. Max Berrendorf, Evgeniy Faerman, and Volker Tresp.
    "Active Learning for Entity Alignment"
    arXiv 2020
  5. Artem Smirnov, Elena A. Kronberg, Max Berrendorf, Steven Morley, and Yuri Shprits
    "Medium energy electron fluxes in Earth’s outer radiation belt: a machine learning model"

    AGU Fall Meeting 2019
  6. Evgeniy Faerman, Otto Voggenreiter, Felix Borutta, Tobias Emrich, Max Berrendorf, and Matthias Schubert.
    "Graph Alignment Networks with Node Matching Scores"
    Graph Representation Learning (NeuRIPS 2019 Workshop)

  7. E. Kronberg, R. Ilie, A. Smirnov, F. Gastaldello, S. Haaland, M. Berrendorf et al.
    "Prediction of soft protons in the near-Earth space using machine learning."
    Poster presented at Machine Learning in Heliophysics, Amsterdam, Netherlands.
  8. Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, and Thomas Seidl.
    "Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned".
    ECIR 2020 Reproducibility Track
  9. Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schüss, and Matthias Schubert.
    "XD-STOD: Cross-Domain Superresolution for Tiny Object Detection".
    Deep Spatial 2019 (ICDM Workshop)
  10. Evgeniy Faerman, Manuel Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel, Max Berrendorf, Michael Fromm, and Matthias Schubert.
    "Spatial Interpolation with Message Passing Framework".
    Deep Spatial 2019 (ICDM Workshop)
  11. Max Berrendorf, Felix Borutta and Peer Kröger.
    "k-Distance Approximation for Memory-Efficient RkNN Retrieval"
    SISAP 2019.
  12. Sahand Sharifzadeh, Max Berrendorf, and Volker Tresp.
    "Improving Visual Relation Detection using Depth Maps".
    arXiv 2019.
  13. Christian Beecks and Max Berrendorf.
    "Optimal k-nearest-neighbor query processing via multiple lower bound approximations."

    2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018.


  • MCML: Machine Learning for Knowledge Graphs (Project Website)
  • Efficient Database Techniques for Reverse k-Nearest Neighbor Search (DFG)