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Publications

Liley, J. et al. (2024) “Development and assessment of a machine learning tool for predicting emergency admission in Scotland”, npj Digital Medicine, 7(1).
Limnios, S. et al. (2024) “SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation”, in ECAI 2024. IOS Press.
Buna, A. and Rebeschini, P. (2024) “Robust Gradient Descent for Phase Retrieval”, arXiv.
Aminian, G. et al. (2024) “Generalization and Robustness of the Tilted Empirical Risk.”
Zhang, R. and Reinert, G. (2024) “Simulating weak attacks in a new duplication–divergence model with node loss”, Entropy, 26(10).
Pigoli, D. et al. (2024) “Assessing the Performance of Machine Learning Methods Trained on Public Health Observational Data: A Case Study From COVID‐19”, Statistics in Medicine [Preprint].
Pigoli, D. et al. (2024) “Assessing the Performance of Machine Learning Methods Trained on Public Health Observational Data: A Case Study From COVID‐19”, Statistics in Medicine [Preprint].
Domingo, E. et al. (2024) “Identification and validation of a machine learning model of complete response to radiation in rectal cancer reveals immune infiltrate and TGFβ as key predictors”, EBioMedicine, 106, pp. 105228 – 105228.
Klarner, L. et al. (2024) “Context-guided diffusion for out-of-distribution molecular and protein design”, in Proceedings of the 41st International Conference on Machine Learning. PMLR, pp. 24770–24807.
Naulet, Z., Rousseau, J. and Caron, F. (2024) “Asymptotic analysis of statistical estimators related to MultiGraphex processes under misspecification”, Bernoulli, 30(4), pp. 2644–2675.