Publications

2024

  1. Learning in Deep Factor Graphs with Gaussian Belief Propagation
    Seth Nabarro, Mark van der Wilk, and Andrew J. Davison
    In Forty-first International Conference on Machine Learning, 2024

2022

  1. Data augmentation in Bayesian neural networks and the cold posterior effect
    Seth Nabarro*, Stoil Ganev*, Adrià Garriga-Alonso, and 3 more authors
    In Uncertainty in Artificial Intelligence, 2022

2020

  1. Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19
    Sourabh Kulkarni, Mario Michael Krell, Seth Nabarro, and 1 more author
    arXiv preprint arXiv:2012.14332, 2020
  2. Parallel training of deep networks with local updates
    Michael Laskin, Luke Metz, Seth Nabarro, and 5 more authors
    arXiv preprint arXiv:2012.03837, 2020

2018

  1. Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression
    Seth Nabarro, Tristan Fletcher, and John Shawe-Taylor
    arXiv preprint arXiv:1806.10873, 2018

2013

  1. The role of vegetation in the CO 2 flux from a tropical urban neighbourhood
    Erik Velasco, Matthias Roth, Sok Huang Tan, and 3 more authors
    Atmospheric Chemistry and Physics, 2013