Lehr- und Forschungseinheit für Datenbanksysteme

Breadcrumb Navigation

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


  • 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)
  • 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)
  • Max Berrendorf, Felix Borutta and Peer Kröger. "k-Distance Approximation for Memory-Efficient RkNN Retrieval". SISAP 2019.
  • Sahand Sharifzadeh, Max Berrendorf, and Volker Tresp. "Improving Visual Relation Detection using Depth Maps". arXiv 2019.
  • 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)