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Oliver Hamelijnck
Oliver Hamelijnck
The University of Warwick, The Alan Turing Institute
Dirección de correo verificada de turing.ac.uk
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Multi-resolution multi-task Gaussian processes
O Hamelijnck, T Damoulas, K Wang, M Girolami
Advances in Neural Information Processing Systems 32, 2019
512019
Transforming Gaussian processes with normalizing flows
J Maroñas, O Hamelijnck, J Knoblauch, T Damoulas
International Conference on Artificial Intelligence and Statistics, 1081-1089, 2021
412021
Spatio-temporal variational Gaussian processes
O Hamelijnck, W Wilkinson, N Loppi, A Solin, T Damoulas
Advances in Neural Information Processing Systems 34, 23621-23633, 2021
402021
Non-separable Non-stationary random fields
K Wang, O Hamelijnck, T Damoulas, M Steel
International Conference on Machine Learning, 9887-9897, 2020
202020
Nonstationary nonseparable random fields
K Wang, O Hamelijnck, T Damoulas, M Steel
Proceedings of the 37th International Conference on Machine Learning (ICML), 2020
42020
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
T Mildner, O Hamelijnck, P Giampouras, T Damoulas
arXiv preprint arXiv:2502.00846, 2025
2025
Physics-Informed Variational State-Space Gaussian Processes
O Hamelijnck, A Solin, T Damoulas
Advances in Neural Information Processing Systems 37, 98505-98536, 2025
2025
Scalable Bayesian inference for spatio-temporal Gaussian processes
O Hamelijnck
University of Warwick, 2024
2024
Supplementary Material for Multi-resolution Multi-task Gaussian Processes
O Hamelijnck, T Damoulas, K Wang, MA Girolami
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Artículos 1–9