Publications

Falck, F. et al. (2022) “Multi-facet clustering variational autoencoders”, in Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Curran Associates, pp. 8676–8690.

Joy, T. et al. (2022) “Learning multimodal VAEs through mutual supervision”, in International Conference on Learning Representations. OpenReview.

He, Y. et al. (2022) “SSSNET: semi-supervised signed network clustering”, in Proceedings of the SIAM International Conference on Data Mining (SDM22). Society for Industrial and Applied Mathematics, pp. 244–252.

Willetts, M. et al. (2022) “Author Correction: Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.”, Scientific reports, 12(1), p. 6024.

Oravkin, E. and Rebeschini, P. (2022) “On optimal interpolation in linear regression”, in. Neural Information Processing Systems Foundation, pp. 29116–29128.

Unsworth, H. et al. (2022) “Building an evidence standards framework for artificial intelligence-enabled digital health technologies”, The Lancet Digital Health, 4(4), pp. e216 - e217.

Padellini, T. et al. (2022) “Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study”, The Lancet Regional Health - Europe, 15, p. 100322.

Clarkson, J. et al. (2022) “DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series.”