98 citations · 196 across the 32 of their papers we have counts for
3 papers · 1 filter
Multi-task Neural Diffusion Processes
Joseph Rawson, Domniki Ladopoulou, Petros Dellaportas
Neural diffusion processes provide a scalable, non-Gaussian approach to modelling distributions over functions, but existing formulations are limited to single-task inference and d…
Probabilistic Wind Power Modelling via Heteroscedastic Non-Stationary Gaussian Processes
Domniki Ladopoulou, Dat Minh Hong, Petros Dellaportas
Accurate probabilistic prediction of wind power is crucial for maintaining grid stability and facilitating the efficient integration of renewable energy sources. Gaussian process (…
Multi-Horizon Echo State Network Prediction of Intraday Stock Returns
Giovanni Ballarin, Jacopo Capra, Petros Dellaportas
Stock return prediction is a problem that has received much attention in the finance literature. In recent years, sophisticated machine learning procedures have been shown to perfo…