Publications

Ganjgahi, H. et al. (2025) “AI-driven reclassification of multiple sclerosis progression”, Nature Medicine, pp. 1–11.

Hutchings, C. et al. (2025) “An updated Bioconductor workflow for correlation profiling subcellular proteomics”, F1000Research, 14, p. 714.

Vandenbulcke, S. et al. (2025) “msqrob2TMT: Robust Linear Mixed Models for Inferring Differential Abundant Proteins in Labeled Experiments With Arbitrarily Complex Design”, Molecular & Cellular Proteomics, 24(7), p. 101002.

Crook, O. (2025) “Structure guided significance testing correction for hydrogen deuterium exchange mass spectrometry”, bioRxiv.

Buna-Marginean, A. and Rebeschini, P. (2025) “Robust gradient descent for phase retrieval”, in Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025. PMLR.

Lehmann, B. et al. (2025) “Methodological opportunities in genomic data analysis to advance health equity”, Nature Reviews Genetics, pp. 1–15.

Vary, S., Martínez-Rubio, D. and Rebeschini, P. (2025) “Black-box uniform stability for non-Euclidean empirical risk minimization”, in International Conference on Artificial Intelligence and Statistics, 3-5 May 2025, Splash Beach Resort in Mai Khao, Thailand. Artificial Intelligence and Statistics, pp. 4942–4950.

Cortinovis, S. and Caron, F. (2025) “FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference”, in.

Freni-Sterrantino, A. et al. (2025) “Assessments and developments in constructing a National Health Index for policy-making, in the UK”, Journal of the Royal Statistical Society. Series A: Statistics in Society, 188(2), pp. 491–514.

Caron, F. et al. (2025) “Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning”, Transactions on Machine Learning Research [Preprint].