Publications

Reichelt, T., Ong, L. and Rainforth, T. (2024) “Beyond Bayesian model averaging over paths in probabilistic programs with stochastic support”, in Proceedings of The 27th International Conference on Artificial Intelligence and Statistics. Journal of Machine Learning Research, pp. 829–837.

Falck, F. et al. (2024) “A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis”, Journal of Biomedical Informatics, 154.

Reinert, G. and Xu, W. (2024) “SteinGen: Generating Fidelitous and Diverse Graph Samples.”

Goldberg, C. et al. (2024) “To do no harm — and the most good — with AI in health care”, Nature Medicine, 30(3), pp. 623–627.

Rainforth, T. et al. (2024) “Modern Bayesian experimental design”, Statistical Science, 39(1), pp. 100–114.

Liu, X. et al. (2024) “Directrices para presentación de informes de ensayos clínicos sobre intervenciones con inteligencia artificial: extensión CONSORT-AI”, BULL PAN AM HEALTH ORGAN, 48, p. e13.

Alfano, C. et al. (2024) “Learning mirror maps in policy mirror descent”, arXiv.

Coppock, H. et al. (2024) “Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers”, Nature Machine Intelligence, 6(2), pp. 229–242.

Ouyang, R. et al. (2024) “L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders”, arXiv.