Publications

Jiang, X. et al. (2023) “Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk”, Nature Genetics, 55(11), pp. 1854–1865.

Torabi, F. et al. (2023) “Wastewater-based surveillance models for COVID-19: A focused review on spatio-temporal models”, Heliyon, 9(11), p. e21734.

Huh, J. and Rebeschini, P. (2023) “Generalization bounds for label noise stochastic gradient descent”, arXiv.

Temčinas, T., Nanda, V. and Reinert, G. (2023) “Multivariate central limit theorems for random clique complexes”, Journal of Applied and Computational Topology, 8(6), pp. 1837–1880.

Reinert, G., Nanda, V. and Temcinas, T. (2023) “Multivariate central limit theorems for random clique complexes”, Journal of Applied and Computational Topology [Preprint].

He, Y. et al. (2023) “Robust Angular Synchronization via Directed Graph Neural Networks”, arXiv.

Johnson, E., Pike-Burke, C. and Rebeschini, P. (2023) “Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity”, arXiv.

Alfano, C., Yuan, R. and Rebeschini, P. (2023) “A novel framework for policy mirror descent with general parameterization and linear convergence”, in. Curran Associates.

Hunter, D. and Holmes, C. (2023) “Where medical statistics meets artificial intelligence”, New England Journal of Medicine, 389(13), pp. 1211–1219.

Temčinas, T., Nanda, V. and Reinert, G. (2023) “Goodness-of-fit via Count Statistics in Dense Random Simplicial Complexes”, arXiv.