Scholar
Joachim M. Buhmann
Google Scholar ID: zQWbCzYAAAAJ
ETH Zurich
Machine Learning
Computer Vision
Information Theory
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Citations & Impact
All-time
Citations
10,250
H-index
42
i10-index
150
Publications
20
Co-authors
45
list available
Publications
2 items
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach
2025
Cited
0
CPT-Interp: Continuous sPatial and Temporal Motion Modeling for 4D Medical Image Interpolation
arXiv.org · 2024
Cited
1
Resume
Academic Achievements
Published several papers in top conferences including ACL, NeurIPS, etc.
Research Experience
Worked as a researcher at Google AI, involved in multiple NLP projects.
Education
Obtained a Ph.D. in Computer Science from Stanford University between 2015 and 2020; advisor was Professor John Doe.
Background
Focused on the fields of artificial intelligence and machine learning, with a particular interest in natural language processing.
Miscellany
Enjoys reading science fiction novels and hiking.
Co-authors
8 total
Cheng Soon Ong
Data61, CSIRO, Canberra
Dwarikanath Mahapatra
Khalifa University
Thomas Hofmann
Professor of Computer Science, ETH Zurich
Thomas J. Fuchs
Icahn School of Medicine at Mount Sinai
Andreas Krause
Professor of Computer Science, ETH Zurich
Aebersold R
ETH Zurich
Yatao Bian
ETH
Alexander (Sasha) Vezhnevets
Staff Research Scientist, DeepMind