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Viacheslav Borovitskiy
Scholar

Viacheslav Borovitskiy

Google Scholar ID: 1KqNyNMAAAAJ
Assistant Professor (Lecturer) at the University of Edinburgh
Machine LearningUncertainty QuantificationGeometric LearningHarmonic Analysis
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
756
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
27
list available
Publications
5 items
Do Deep Ensembles Actually Capture Uncertainty in Graph Neural Networks?
2026
Cited
0
Heat and Matérn Kernels on Matchings
2026
Cited
0
Bayesian Scattering: A Principled Baseline for Uncertainty on Image Data
2026
Cited
0
Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization
2025
Cited
0
Residual Deep Gaussian Processes on Manifolds
arXiv.org · 2024
Cited
0
Co-authors
11 total
Alexander Terenin
Alexander Terenin
Cornell University
Marc Deisenroth
Marc Deisenroth
University College London and Google DeepMind
Noémie Jaquier
Noémie Jaquier
KTH - Royal Institute of Technology
Leonel Rozo
Leonel Rozo
Bosch Center for Artificial Intelligence
Andreas Krause
Andreas Krause
Professor of Computer Science, ETH Zurich
Nicolas Durrande
Nicolas Durrande
Principal Scientist at Monumo
James T. Wilson
James T. Wilson
Imperial College London
Yee Whye Teh
Yee Whye Teh
Professor of Statistical Machine Learning, Oxford, Research Scientist, DeepMind