Publications

Lee, H. et al. (2023) “Deep neural networks with dependent weights: Gaussian process mixture limit, heavy tails, sparsity and compressibility”, Journal of Machine Learning Research, 24, pp. 1–78.

Yang, J. et al. (2023) “Determining herd immunity thresholds for hepatitis A virus transmission to inform vaccination strategies among people who inject drugs in 16 US states”, Clinical Infectious Diseases, 78(4), pp. 976–982.

Lu, X., Rainforth, T. and Teh, Y. (2023) “Daisee: Adaptive importance sampling by balancing exploration and exploitation”, Scandinavian Journal of Statistics, 50(3), pp. 1298–1324.

Carrera, J.-P. et al. (2023) “Madariaga and Venezuelan equine encephalitis virus seroprevalence in rodent enzootic hosts in Eastern and Western Panama.”, bioRxiv [Preprint].

Murphy, C. et al. (2023) “Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings”, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 381(2257).

Whitaker, M. et al. (2023) “SARS-CoV-2 rapid antibody test results and subsequent risk of hospitalisation and death in 361,801 people”, Nature Communications, 14(1), p. 4957.

Whitehead, M. et al. (2023) “Making the invisible visible: what can we do about biased AI in medical devices?”, The BMJ, 382, p. p1893.

Pritchard, M. et al. (2023) “Natural immune boosting leads to synchrony in immunity and cyclic outbreaks of disease for pathogens with rapidly waning immunity”, in.

Klarner, L. et al. (2023) “Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions”, arXiv.

Lehmann, B. et al. (2023) “Optimal strategies for learning multi-ancestry polygenic scores vary across traits”, Nature Communications, 14(1), p. 4023.