Stephan Wäldchen
Scholar

Stephan Wäldchen

Google Scholar ID: me6yCJYAAAAJ
Aleph Alpha
quantum information theoryneural networkscomplexity theoryartificial intelligence
Citations & Impact
All-time
Citations
1,649
 
H-index
8
 
i10-index
8
 
Publications
14
 
Co-authors
12
list available
Publications
1 items
Resume (English only)
Academic Achievements
  • Publications: A paper about Merlin-Arthur Classifiers accepted to AISTATS (2024); A paper accepted as a long-form talk at ICML 2022 (top 2% of papers).
Research Experience
  • Researcher at IOL Lab, Zuse Institute Berlin, focusing on AI interpretability and the mathematics of deep neural networks.
Education
  • PhD, Technische Universität Berlin, defended in 2021. Advisor information not provided.
Background
  • Research interests: AI interpretability, mathematics of deep neural networks; Professional field: AI safety; Bio: Researcher in the Robust and Explainable Learning group at IOL Lab, Zuse Institute Berlin, and TU Berlin.
Miscellany
  • Personal interest: Currently writing a musical.