Brian Staber
4 papers · 2023–2025 · 2 conferences · across top CS/AI conferences
Achievements
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🧭
Keyword Pioneer
🌍
Conference Polyglot
(2)
🐝
Cross-Pollinator
(9)
🌉
Interdisciplinary Bridge
Conferences
AISTATS (2)
NIPS (2)
Top co-authors
Keywords
dimensionality reduction
(1)
bayesian inference
(1)
uncertainty quantification
(1)
markov chain monte carlo
(1)
gaussian process
(1)
gaussian process regression
(1)
graph regression
(1)
graph kernel
(1)
predictive uncertainty
(1)
sliced wasserstein
(1)
weisfeiler-lehman graph kernel
(1)
computational physics
(1)
positive definiteness
(1)
kernel stein discrepancy
(1)
physical simulation
(1)
stein thinning
(1)
mesh morphing
(1)
Papers
Learning signals defined on graphs with optimal transport and Gaussian process regression
AISTATS 2025
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
AISTATS 2024
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability
NIPS 2023
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
NIPS 2023