Publications

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.

Sharma, M. et al. (2020) “How robust are the estimated effects of nonpharmaceutical interventions against COVID-19?”, in Advances in Neural Information Processing Systems.

He, B., Lakshminarayanan, B. and Teh, Y. (2020) “Bayesian deep ensembles via the neural tangent kernel”, in Advances in Neural Information Processing Systems.

Lee, J. et al. (2020) “Bootstrapping neural processes”, in Advances in Neural Information Processing Systems.

Barylyuk, K. et al. (2020) “A subcellular atlas of<i>Toxoplasma</i>reveals the functional context of the proteome”, bioRxiv.

Fang, S. et al. (2020) “A Bayesian semi-parametric model for thermal proteome profiling”, bioRxiv.

Crook, O. et al. (2020) “A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection”, bioRxiv.

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.

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

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