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Publications

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.
Camuto, A. et al. (2020) “Explicit regularisation in Gaussian noise injections”, in Advances in Neural Information Processing Systems.
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.
Dorigatti, I. et al. (2019) “Risk of yellow fever virus importation into the United States from Brazil, outbreak years 2016–2017 and 2017–2018”, Scientific Reports, 9.
Vaškevičius, T., Kanade, V. and Rebeschini, P. (2019) “Implicit regularization for optimal sparse recovery”, in Advances in Neural Information Processing Systems 32 (NIPS 2019). Neural Information Processing Systems Foundation, pp. 2968–2979.