Max Müller-Eberstein
Scholar

Max Müller-Eberstein

Google Scholar ID: mI392-4AAAAJ
IT University of Copenhagen
Artificial IntelligenceNatural Language ProcessingRepresentation LearningLearning Dynamics
Citations & Impact
All-time
Citations
161
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Publications: 'PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs' (ICLR 2025), 'Hypernetworks for Personalizing ASR to Atypical Speech' (TACL, 2024), and more. Awards: Best Poster at the IEEE International Conference on Computer Vision 2019 Workshop.
Research Experience
  • Currently a postdoctoral researcher at the NLPnorth Lab and Pioneer Centre for Artificial Intelligence, IT University of Copenhagen; Interned with research teams at Apple and Amazon focusing on ML, NLP, and Accessibility.
Education
  • 2020 – 2024, PhD at IT University of Copenhagen, advised by Prof. Barbara Plank, Prof. Rob van der Goot, and Prof. Ivan Titov.
Background
  • Research Interests: Learning dynamics of ML models, overlaps across languages and other modalities (e.g., visual art and music). Professional Field: AI, particularly in NLP. Background: Aiming to improve the efficiency of machine learning to serve underprivileged communities.
Miscellany
  • Personal Interests: Elaborate presentation of scientific communication; Member of the Danish Agency for Digital Government's Working Group on 'The Strategic Use of AI'; Maintains a blog sharing personal and artistic projects.