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Thomas Baldwin-McDonald
ورقتان في مجموعة PaperMetrix
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Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
2024 · Research Explorer (The University of Manchester)
Deep Gaussian Processes (DGPs) leverage a compositional structure to model non-stationary processes. DGPs typically rely on local inducing point approximations across intermediate GP layers. Recent advances in DGP inference have shown that incorporating global Fourier …
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Deep latent force models: ODE-based process convolutions for Bayesian deep learning
2025 · Machine Learning
Modelling the behaviour of highly nonlinear dynamical systems with robust uncertainty quantification is a challenging task which typically requires approaches specifically designed to address the problem at hand. We introduce a domain-agnostic model to address …