Publications & policy submissions

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Camuto, A., Willetts, M., Şimşekli, U., Roberts, S., & Holmes, C. (2020). Explicit Regularisation in Gaussian Noise Injections. NeurIPS

Willetts, M., Roberts, S., Holmes, C. (2019) Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders. NeurIPS Bayesian Deep Learning Workshop 2019

Chance Haycock, Edward Thorpe-Woods, James Walsh, Patrick O’Hara, Oscar Giles, Neil Dhir, Theodoros Damoulas. (2020). An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System. In Workshop on Machine Learning in Public Health, NeurIPS'20.

Margetts, H., & Dorobantu, C. (2019). "Rethink government with AI." Nature, 568, 163-165. https://doi.org/10.1038/d41586-019-01099-5

Ilan Price and Jared Tanner, Trajectory growth lower bounds for random sparse deep ReLU networks. 2019

Bernadette J. Stolz, Jared Tanner, Heather A Harrington, and Vidit Nanda, Geometric anomaly detection in data. 2019

Charles Millard, Aaron T Hess, Boris Mailhe, and Jared Tanner, Approximate message passing with a coloured aliasing model for variable density fourier sampled images, 2020

Michael Murray and Jared Tanner, The permuted striped block model and its factorization - algorithms with recovery guarantees. 2020

A. Elliott, M. Cucuringu, M. M. Luaces, P. Reidy, and G. Reinert, Anomaly detection in networks with application to financial transaction networks, 2019

Marya Bazzi, Lucas G. S. Jeub, Alex Arenas, Sam D. Howison, and Mason A. Porter. A framework for the construction of generative models for mesoscale structure in multilayer networks. Physical Review Research.

Elliott, Andrew, Angus Chiu, Marya Bazzi, Gesine Reinert, and Mihai Cucuringu. "Core-Periphery Structure in Directed Networks." arXiv preprint arXiv:1912.00984 (2019). Accepted in Proceedings of the Royal Society, Series A

Cucuringu, M., Li, H., Sun, H. & Zanetti, L.. (2020). Hermitian matrices for clustering directed graphs: insights and applications. Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, in PMLR 108:983-992

Data Study Group team. (2021, March 10). Data Study Group Final Report: Agile Datum. Zenodo. https://doi.org/10.5281/zenodo.5729594

A. Boustati, Ö. D. Akylidìz, T. Damoulas, and A. M. Johansen (2020). Generalized Bayesian filtering via sequential Monte Carlo. In Advances in Neural Information Processing Systems 33 (NeurIPS). To appear.

Leslie, D. (2020). Understanding bias in facial recognition technologies: an explainer. The Alan Turing Institute. https://doi.org/10.5281/zenodo.4050457