Peter Mostowsky
5 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (14)
🗺️
Taxonomy Completionist
(12)
🐣
Hot Topic Early Bird
Conferences
JMLR (2)
AISTATS (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
gaussian process
(5)
matern kernel
(3)
uncertainty quantification
(2)
posterior sampling
(2)
approximation error
(1)
riemannian manifold
(1)
spectral method
(1)
heat kernel
(1)
fourier feature
(1)
geometric learning
(1)
monte carlo method
(1)
inducing point
(1)
laplace-beltrami operator
(1)
matérn kernel
(1)
kernel methods
(1)
graph neural network
(1)
stochastic partial differential equation
(1)
spectral theory
(1)
gaussian processes
(1)
pathwise conditioning
(1)
Papers
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
JMLR 2025
Matérn Gaussian Processes on Graphs
AISTATS 2021
Pathwise Conditioning of Gaussian Processes
JMLR 2021
Matérn Gaussian Processes on Riemannian Manifolds
NIPS 2020
Efficiently sampling functions from Gaussian process posteriors
ICML 2020