Publications by Statistical Genetics and Epidemiology
Our research spans areas of statistical genetics, in particular the development of powerful statistical approaches to analyse genetic data, as well as studying infectious diseases.
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.