Xinxing Shi

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 …

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 …