publications

2022

  1. Data augmentation in Bayesian neural networks and the cold posterior effect
    Nabarro, Seth*, Ganev, Stoil*, Garriga-Alonso, Adrià, Fortuin, Vincent, Wilk, Mark, and Aitchison, Laurence
    In Uncertainty in Artificial Intelligence 2022

2020

  1. Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19
    Kulkarni, Sourabh, Krell, Mario Michael, Nabarro, Seth, and Moritz, Csaba Andras
    arXiv preprint arXiv:2012.14332 2020
  2. Parallel training of deep networks with local updates
    Laskin, Michael, Metz, Luke, Nabarro, Seth, Saroufim, Mark, Noune, Badreddine, Luschi, Carlo, Sohl-Dickstein, Jascha, and Abbeel, Pieter
    arXiv preprint arXiv:2012.03837 2020

2018

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

2013

  1. The role of vegetation in the CO 2 flux from a tropical urban neighbourhood
    Velasco, Erik, Roth, Matthias, Tan, Sok Huang, Quak, Michelle, Nabarro, Seth, and Norford, Leslie
    Atmospheric Chemistry and Physics 2013