Viacheslav Borovitskiy
15 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25)
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(2)
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(60)
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Century Club · Bronze
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Unstoppable · Bronze
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Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(11)
Bayesian & Probabilistic · Artificial Intelligence
(9)
Core Methods
(9)
Optimization & Theory
(9)
Bayesian & Probabilistic · Machine Learning
(8)
Mathematics & Optimization
(6)
Mathematics
(4)
Deep Learning
(2)
Core AI
(2)
Knowledge & Reasoning
(1)
Application Areas
(1)
Learning Paradigms
(1)
Learning Types
(1)
Models
(1)
Keywords
gaussian process
(14)
riemannian manifold
(4)
manifold learning
(3)
kernel methods
(3)
uncertainty quantification
(3)
stochastic process
(3)
matern kernel
(3)
bayesian optimization
(2)
bayesian learning
(2)
vector field
(2)
covariance kernel
(2)
posterior sampling
(2)
stationary kernel
(2)
non-euclidean space
(2)
network flow
(1)
sparse approximation
(1)
feature space
(1)
gaussian processes
(1)
global optimization
(1)
latent variable model
(1)
Papers
Residual Deep Gaussian Processes on Manifolds
ICLR 2025
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
JMLR 2025
Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds
ICML 2024
Hodge-Compositional Edge Gaussian Processes
AISTATS 2024
Intrinsic Gaussian Vector Fields on Manifolds
AISTATS 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces
JMLR 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case
JMLR 2024
Isotropic Gaussian Processes on Finite Spaces of Graphs
AISTATS 2023
Quadric Hypersurface Intersection for Manifold Learning in Feature Space
AISTATS 2022
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels
CoRL 2021
Matérn Gaussian Processes on Graphs
AISTATS 2021
Pathwise Conditioning of Gaussian Processes
JMLR 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
NeurIPS 2021
Efficiently sampling functions from Gaussian process posteriors
ICML 2020
Matérn Gaussian Processes on Riemannian Manifolds
NeurIPS 2020