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Publications

Clarkson, J. et al. (2024) “Split Conformal Prediction under Data Contamination”, arXiv.
Budd, J. et al. (2024) “A large-scale and PCR-referenced vocal audio dataset for COVID-19”, Scientific Data, 11(1).
Lu, Y., Reinert, G. and Cucuringu, M. (2024) “Trade co-occurrence, trade flow decomposition, and conditional order imbalance in equity markets”, Quantitative Finance, 24(6), pp. 779–809.
Armbruster, S. and Reinert, G. (2024) “Network-based time series modeling for COVID-19 incidence in the Republic of Ireland”, Applied Network Science, 9(1).
Howard, S. et al. (2024) “Differentiable Cost-Parameterized Monge Map Estimators”, arXiv.
Whitehead, M. et al. (2024) “Equity in medical devices: trainers and educators play a vital role”, The BMJ, 385, p. q1091.
Huh, J. and Rebeschini, P. (2024) “Generalization bounds for label noise stochastic gradient descent”, in Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). PMLR, pp. 1360–1368.
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.
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.