3 papers
eess.SP2025
Online Graph Topology Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac Fibrillation
Alexander Jenkins, Thiernithi Variddhisai, Ahmed El-Medany +2
Graph Signal Processing (GSP) provides a powerful framework for analysing complex, interconnected systems by modelling data as signals on graphs. While recent advances have enabled…
cs.LG2025
Relational Conformal Prediction for Correlated Time Series
Andrea Cini, Alexander Jenkins, Danilo Mandic +2
We address the problem of uncertainty quantification in time series forecasting by exploiting observations at correlated sequences. Relational deep learning methods leveraging grap…
cs.LG2025
Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements
Alexander Jenkins, Andrea Cini, Joseph Barker +10
Catheter ablation of Atrial Fibrillation (AF) consists of a one-size-fits-all treatment with limited success in persistent AF. This may be due to our inability to map the dynamics…