Publications

Camuto, A. et al. (2021) “Towards a theoretical understanding of the robustness of variational autoencoders”, in. Journal of Machine Learning Research, pp. 3565–3573.

Camuto, A. et al. (2021) “Learning bijective feature maps for linear ICA”, in Proceedings of the 24th International Conference on Artificial Intelligence and Statistics. PMLR, pp. 3655–3663.

He, B. et al. (2021) “Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK”, Royal Society Open Science, 8(3), p. 201491.

Brauner, J. et al. (2021) “Inferring the effectiveness of government interventions against COVID-19”, Science, 371(6531), p. eabd9338.

Lagou, V. et al. (2021) “Publisher Correction: Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability”, Nature Communications, 12(1), p. 995.

Lyons, J. et al. (2021) “Protocol for the development of the Wales Multimorbidity e-Cohort (WMC): data sources and methods to construct a population-based research platform to investigate multimorbidity”, BMJ Open, 11(1).

Lehmann, B. et al. (2021) “Optimal strategies for learning multi-ancestry polygenic scores vary across traits”, p. 2021.01.15.426781.

Hutchinson, M. et al. (2021) “LieTransformer: Equivariant Self-Attention for Lie Groups”, in Proceedings of Machine Learning Research, pp. 4533–4543.

Holderrieth, P., Hutchinson, M. and Teh, Y. (2021) “Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes”, in Proceedings of Machine Learning Research, pp. 4297–4307.

Mathieu, E., Foster, A. and Teh, Y. (2021) “On Contrastive Representations of Stochastic Processes”, in Advances in Neural Information Processing Systems, pp. 28823–28835.