Thomas Hofmann
Scholar

Thomas Hofmann

Google Scholar ID: T3hAyLkAAAAJ
Professor of Computer Science, ETH Zurich
Machine LearningMachine IntelligenceNatural Language Understanding
Citations & Impact
All-time
Citations
14,851
 
H-index
50
 
i10-index
122
 
Publications
20
 
Co-authors
54
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published numerous papers in top international conferences such as ICML, NeurIPS, EMNLP, ICLR, focusing on topics like deep learning theory, transformer model analysis, data augmentation techniques in Bayesian neural networks, etc.
Research Experience
  • Engaged in multiple research projects on deep learning, covering both theoretical and practical applications.
Background
  • Research interests include the theory of deep learning, machine learning inspired by natural intelligence and neurobiology, and deep learning for the sciences, with a focus on astrophysics.
Miscellany
  • Lab members have received awards including the ETH Medal and Google PhD Fellowship.