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Publications

Atchison, C. et al. (2023) “LONG-TERM PHYSICAL AND MENTAL HEALTH IMPACT OF COVID-19 ON ADULTS IN ENGLAND: FOLLOW UP OF A LARGE RANDOM COMMUNITY SAMPLE”, medRxiv.
Mitra, R. et al. (2023) “Learning from data with structured missingness”, Nature Machine Intelligence, 5(1), pp. 13–23.
Zaidi, S. et al. (2023) “When Does Re-initialization Work?”, in Proceedings of Machine Learning Research, pp. 12–26.
Penn, M. et al. (2023) “The uncertainty of infectious disease outbreaks is underestimated”, Research Square.
Deligiannidis, G. et al. (2023) “A Unified Framework for U-Net Design and Analysis”, in. Curran Associates, pp. 27745–27782.
Venkatesh, S. et al. (2023) “The genetic architecture of changes in adiposity during adulthood”, medRxiv.
Miao, N. et al. (2023) “Learning Instance-Specific Augmentations by Capturing Local Invariances”, in Proceedings of Machine Learning Research, pp. 24720–24736.
Mills, C. et al. (2023) “Strategic use of SARS-CoV-2 wastewater concentration data could enhance, but not replace, high-resolution community prevalence survey programmes”, medRxiv.
McCabe, R. and Donnelly, C. (2023) “Public awareness of and opinions on the use of mathematical transmission modelling to inform public health policy in the United Kingdom”, medRxiv.
Ghalebikesabi, S. et al. (2023) “Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates”, in Proceedings of Machine Learning Research, pp. 658–668.