Peter Orbanz
Scholar

Peter Orbanz

Google Scholar ID: cSGXgEAAAAAJ
University College London
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
982
 
H-index
13
 
i10-index
18
 
Publications
20
 
Co-authors
8
list available
Contact
No contact links provided.
Publications
6 items
A Single Architecture for Representing Invariance Under Any Space Group
2025
Cited
0
Efficiently Vectorized MCMC on Modern Accelerators
2025
Cited
0
Distinguishing Cause from Effect with Causal Velocity Models
2025
Cited
0
Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schr""odinger Equation
2025
Cited
0
Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes
arXiv.org · 2024
Cited
2
Gaussian and Non-Gaussian Universality of Data Augmentation
2022
Cited
3
Resume (English only)
Co-authors
8 total
Joachim M. Buhmann
Joachim M. Buhmann
ETH Zurich
Yee Whye Teh
Yee Whye Teh
Professor of Statistical Machine Learning, Oxford, Research Scientist, DeepMind
Daniel M. Roy
Daniel M. Roy
Research Director, Vector Institute; Prof., U. Toronto (Statistics, CS)
Zoubin Ghahramani
Zoubin Ghahramani
Professor, University of Cambridge, and VP of Research, Google DeepMind
Co-author 5
Co-author 5
Benjamin Bloem-Reddy
Benjamin Bloem-Reddy
University of British Columbia
Sinead Williamson
Sinead Williamson
Apple Machine Learning Research
Lancelot F. James
Lancelot F. James
Professor, Hong Kong University of Science and Technology