Seth Nabarro

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 6

Top Topics

Gaussian Process

Structured Prediction

Top Venues

ACM J. Emerg. Technol. Comput. Syst.

Publications

Seth Nabarro, Mark van der Wilk, Andrew J. Davison
Learning in Deep Factor Graphs with Gaussian Belief Propagation. CoRR (2023)
Seth Nabarro, Stoil Ganev, Adrià Garriga-Alonso, Vincent Fortuin, Mark van der Wilk, Laurence Aitchison
Data augmentation in Bayesian neural networks and the cold posterior effect. UAI (2022)
Sourabh Kulkarni, Mario Michael Krell, Seth Nabarro, Csaba Andras Moritz
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19. ACM J. Emerg. Technol. Comput. Syst. 18 (2) (2022)
Seth Nabarro, Stoil Ganev, Adrià Garriga-Alonso, Vincent Fortuin, Mark van der Wilk, Laurence Aitchison
Data augmentation in Bayesian neural networks and the cold posterior effect. CoRR (2021)
Sourabh Kulkarni, Mario Michael Krell, Seth Nabarro, Csaba Andras Moritz
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19. CoRR (2020)
Seth Nabarro, Tristan Fletcher, John Shawe-Taylor
Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression. CoRR (2018)