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Munich Center for Machine Learning

95 papers here2.9k citations across 95
fields
  • cs.LG22
  • cs.CV12
  • stat.ML9
  • math.NA6
  • stat.ME6
  • cs.HC5
  • cs.AI4
  • cs.SI4
ROR 02nfy3535OpenAlex

affiliations via OpenAlex

output
20182026
most citedGenerative AI

1.3k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • A. Boulesteix7 · h 59
  • B. Bischl7 · h 48
  • S. Feuerriegel7 · h 48
  • Bernd Bischl5 · h 18
  • Florian Pfisterer5 · h 14
  • Giuseppe Casalicchio2 profiles5 · h 21
  • Eyke Hüllermeier4 · h 69
  • Moritz Herrmann4 · h 2
  • Benedikt Wiestler3 · h 31
  • Daniel Rueckert3 · h 14
  • David Rügamer2 profiles3 · h 11
  • Dominik Bär3 · h 9
collaborating institutions
  • Ludwig-Maximilians-Universität MünchenDE63 papers
  • Technical University of MunichDE41 papers
  • LMU KlinikumDE29 papers
  • Imperial College LondonGB8 papers
  • Helmholtz MunichDE6 papers
  • TUM KlinikumDE6 papers
  • Zimmer Biomet (Germany)DE6 papers
  • Fraunhofer Institute for Integrated CircuitsDE4 papers
  • Munich School of PhilosophyDE4 papers
  • TU Dortmund UniversityDE4 papers
  • University College LondonGB4 papers
  • Zimmer Biomet (Netherlands)NL4 papers
Showing 2026 · stat.MEShow all

1 paper · 2 filters

stat.ME2026

Unity Forests: Improving Interaction Modelling and Interpretability in Random Forests

Roman Hornung, Alexander Hapfelmeier

Random forests (RFs) are widely used for prediction and variable importance analysis and are often believed to capture any types of interactions via recursive splitting. However, s…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.