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
Contact
No contact links provided.
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 (English only)
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
45 total
Co-author 1
Cheng Soon Ong
Data61, CSIRO, Canberra
Dwarikanath Mahapatra
Khalifa University
Co-author 4
Thomas Hofmann
Professor of Computer Science, ETH Zurich
Co-author 6
Thomas J. Fuchs
Icahn School of Medicine at Mount Sinai
Co-author 8
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