Oliver Hamelijnck
6 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird
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Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Machine Learning
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Core Methods
(1)
Mathematics
(1)
Methods
(1)
Keywords
gaussian process
(4)
variational inference
(4)
state space model
(2)
uncertainty quantification
(1)
spatio-temporal modeling
(1)
natural gradient
(1)
sparse approximation
(1)
spatio-temporal filtering
(1)
differential equation
(1)
kernel methods
(1)
nonstationary random field
(1)
nonseparable kernel
(1)
misspecification
(1)
federated learning
(1)
cavity distribution
(1)
multi-task learning
(1)
robustness
(1)
Papers
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
ICML 2025
Physics-Informed Variational State-Space Gaussian Processes
NeurIPS 2024
Spatio-Temporal Variational Gaussian Processes
NeurIPS 2021
Transforming Gaussian Processes With Normalizing Flows
AISTATS 2021
Non-separable Non-stationary random fields
ICML 2020
Multi-resolution Multi-task Gaussian Processes
NeurIPS 2019