Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression. - Seth Nabarro; Tristan Fletcher; John Shawe-Taylor (CoRR, 2018)

Data augmentation in Bayesian neural networks and the cold posterior effect. - Seth Nabarro; Stoil Ganev; Adrià Garriga-Alonso; Vincent Fortuin; Mark van der Wilk; Laurence Aitchison (UAI, 2022)

Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19. - Sourabh Kulkarni; Mario Michael Krell; Seth Nabarro; Csaba Andras Moritz (ACM J. Emerg. Technol. Comput. Syst., 2022)

Learning in Deep Factor Graphs with Gaussian Belief Propagation. - Seth Nabarro; Mark van der Wilk; Andrew J. Davison (ICML, 2024)