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Publications

Klimm, F., Deane, C. and Reinert, G. (2021) “Hypergraphs for predicting essential genes using multiprotein complex data”, Journal of Complex Networks, 9(2).
Maddison, C. et al. (2021) “Dual space preconditioning for gradient descent”, SIAM Journal on Optimization, 31(1), pp. 991–1016.
Joy, T. et al. (2021) “Capturing label characteristics in VAEs”, in Proceedings of the International Conference on Learning Representations (ICLR 2020). OpenReview.
Jiang, X. et al. (2021) “Modelling the impact of rapid tests, tracing and distancing in lower-income countries suggest that optimal policies vary with rural-urban settings”, p. 2021.03.17.21253853.
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.
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) “Towards a theoretical understanding of the robustness of variational autoencoders”, in. Journal of Machine Learning Research, pp. 3565–3573.
Xu, W. and Reinert, G. (2021) “A Stein goodness-of-test for exponential random graph models”, pp. 415–423.
Ton, J.-F. et al. (2021) “Noise contrastive meta-learning for conditional density estimation using kernel mean embeddings”, in. Journal of Machine Learning Research, pp. 1099–1107.
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.