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Publications

El-Sayed Moustafa, J. et al. (2026) “Longitudinal dynamics of gene expression and metabolomics in an aging population cohort”, Science, 393(6815), pp. eaed6452 - eaed6452-.
El-Sayed Moustafa, J. et al. (2026) “Longitudinal dynamics of gene expression and metabolomics in an aging population cohort”, Science, 393(6815), pp. eaed6452 - eaed6452-.
Kilian, V., Cortinovis, S. and Caron, F. (2026) “Anytime-valid, Bayes-assisted, prediction-powered inference”, in Neural Information Processing Systems. Conference. 39th 2025. Advances in Neural Information Processing Systems 38. Curran Associates, pp. 1035–1053.
Modlich, M. et al. (2026) “Interpreting graph neural networks with Myerson values for cheminformatics approaches”, Digital Discovery [Preprint].
Barbour, A. and Reinert, G. (2026) Networks: Probability and Statistics. Edited by G. Reinert. Cambridge University Press.
Barbour, A., Fischer, A. and Reinert, G. (2026) “Stein’s method in network analysis.”
Jewson, J., Smith, J. and Holmes, C. (2026) “On the Stability of General Bayesian Inference”, Bayesian Analysis, 21(2), pp. 725–755.
Raja, A. et al. (2026) “QuADMET-Former: Pre-training on Quantum Mechanical Properties Improves ADMET Prediction”, American Chemical Society (ACS).
Mantziou, A. et al. (2026) “GDP nowcasting with large-scale inter-industry payment data in real time: a network approach”, Journal of the Royal Statistical Society Series A (Statistics in Society), pp. qnag061 - qnag061-.
Money-Kyrle, S. et al. (2026) “On Improving Graph Neural Networks for QSAR by Pre-training on Extended-Connectivity Fingerprints”, arXiv.