Research

Papers

2022

• Identifying latent climate signals using sparse hierarchical Gaussian processes
  Matt Amos, Thomas Pinder, Paul Young
  NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems
  pdf | code
• LancasterAQ: A High Resolution Street Level Dataset of Ultrafine Particles
  Matt Amos, Douglas Booker, Rachael Duncan, Lily Gouldsbrough, Thomas Pinder, Paul Young, Jeremy Carter
  Under Review
  arXiv | code
• GPJax; A Gaussian process package in JAX
  Thomas Pinder, Daniel Dodd
  Journal of Open Source Software
  pdf | code
• Street-Level Air Pollution Modelling with Graph Gaussian Processes
  Thomas Pinder, Kathryn Turnbull, Christopher Nemeth, David Leslie
  ICLR: AI for Earth and Space Science
  pdf | presentation

2021

• Gaussian Processes on Hypergraphs
  Thomas Pinder, Kathryn Turnbull, Christopher Nemeth, David Leslie
  In submission
  arXiv | presentation

2020

• A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK
  Thomas Pinder, Michael Hollaway, Christopher Nemeth, Paul Young, David Leslie
  In submission
  arXiv
• Stein Variational Gaussian Processes
  Thomas Pinder, Christopher Nemeth, David Leslie
  In submission
  arXiv | code

2019

• GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language
  Jamie Fairbrother, Christopher Nemeth, Maxime Rischard, Johanni Brea, Thomas Pinder
  Journal of Statistical Software
  Paper | code

2018

• Towards Large Scale Ad-hoc Teamwork
  Elnaz Shafipour Yourdshahi, Thomas Pinder, Gauri Dhawan, Leandro Soriano Marcolino, Plamen Angelov
  IEEE International Conference on Agents
  pdf

Talks