Publications Torabi, F. et al. (2023) “Wastewater-based surveillance models for COVID-19: A focused review on spatio-temporal models”, Heliyon, 9(11), p. e21734. Jiang, X. et al. (2023) “Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk”, Nature Genetics, 55(11), pp. 1854–1865. Huh, J. and Rebeschini, P. (2023) “Generalization bounds for label noise stochastic gradient descent”, arXiv. Kim, Y. et al. (2023) “Lessons for cross-species viral transmission surveillance from highly pathogenic avian influenza Korean cat shelter outbreaks”, Nature Communications, 14(1), pp. 6958–6958. Atchison, C. et al. (2023) “Long-term health impacts of COVID-19 among 242,712 adults in England”, Nature Communications, 14(1), p. 6588. Cooper, B. et al. (2023) “The burden and dynamics of hospital-acquired SARS-CoV-2 in England”, Nature, 623, pp. 132–138. Bhatia, S. et al. (2023) “Retrospective evaluation of real-time estimates of global COVID-19 transmission trends and mortality forecasts”, PLoS ONE, 18(10). Carrera Carrera, J. et al. (2023) “Real-time RT-PCR for Venezuelan equine encephalitis complex, Madariaga and Eastern equine encephalitis viruses: application in human and mosquito public health surveillance in Panama”, Journal of Clinical Microbiology [Preprint]. Ward, H. et al. (2023) “Design and implementation of a national program to monitor the prevalence of SARS-CoV-2 IgG antibodies in England using self-testing: the REACT-2 study”, American Journal of Public Health, 113(11), pp. 1201–1209. Johnson, E., Pike-Burke, C. and Rebeschini, P. (2023) “Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity”, arXiv. Previous page ‹‹ … Page 10 Page 11 Page 12 Page 13 Current page 14 Page 15 Page 16 Page 17 Page 18 … Next page ››