Publications

Alfano, C. et al. (2024) “Learning Loss Landscapes in Preference Optimization”, arXiv.

Mantziou, A. et al. (2024) “GDP nowcasting with large-scale inter-industry payment data in real time -- A network approach”, arXiv.

Bajaj, S. et al. (2024) “COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys”, The Lancet Digital Health, 6(11), pp. e778 - e790.

Liley, J. et al. (2024) “Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland”, npj Digital Medicine, 7(1), p. 302.

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.

Potaptchik, P., Azangulov, I. and Deligiannidis, G. (2024) “Linear Convergence of Diffusion Models Under the Manifold Hypothesis”, in.

Aminian, G. et al. (2024) “Generalization and Robustness of the Tilted Empirical Risk.”

Azangulov, I., Deligiannidis, G. and Rousseau, J. (2024) “Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions”, arXiv.