Publications

Camuto, A. et al. (2020) “Explicit regularisation in Gaussian noise injections”, in Advances in Neural Information Processing Systems.

Ramisch, A. et al. (2020) “Temporal variation of regulatory organization based on longitudinal RNA-seq data in twins”, in EUROPEAN JOURNAL OF HUMAN GENETICS, pp. 729–730.

Richards, D., Rebeschini, P. and Rosasco, L. (2020) “Decentralised learning with distributed gradient descent and random features”, in 37th International Conference on Machine Learning Icml 2020, pp. 8075–8085.

Jayakumar, S. et al. (2020) “MULTIPLICATIVE INTERACTIONS AND WHERE TO FIND THEM”, in 8th International Conference on Learning Representations, ICLR 2020.

Ainslie, K. et al. (2020) “Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment.”, Wellcome open research, 5, p. 81.

Jeffrey, B. et al. (2020) “Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK.”, Wellcome open research, 5, p. 170.

Xu, J. et al. (2020) “MetaFun: Meta-learning with iterative functional updates”, in 37th International Conference on Machine Learning, ICML 2020, pp. 10548–10558.

Titsias, M. et al. (2020) “FUNCTIONAL REGULARISATION FOR CONTINUAL LEARNING WITH GAUSSIAN PROCESSES”, in 8th International Conference on Learning Representations, ICLR 2020.

Bhatia, S. et al. (2020) “Estimating the number of undetected COVID-19 cases among travellers from mainland China.”, Wellcome open research, 5, p. 143.

Simsekli, U. et al. (2020) “Fractional underdamped langevin dynamics: Retargeting SGD with momentum under heavy-tailed gradient noise”, in 37th International Conference on Machine Learning, ICML 2020, pp. 8917–8927.