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Publications

Li, G. et al. (2023) “A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic”, Environment International, 172, pp. 107765–107765.
He, Y. et al. (2023) “PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs”, in Proceedings of Machine Learning Research, pp. 121–1227.
Jewson, J., Ghalebikesabi, S. and Holmes, C. (2023) “Differentially Private Statistical Inference through β-Divergence One Posterior Sampling”, in Advances in Neural Information Processing Systems.
Deligiannidis, G. et al. (2023) “A Unified Framework for U-Net Design and Analysis”, in. Curran Associates, pp. 27745–27782.
Venkatesh, S. et al. (2023) “Genetic architecture of longitudinal obesity trajectories in primary care electronic health records”, in EUROPEAN JOURNAL OF HUMAN GENETICS, pp. 39–39.
Schwarz, J. et al. (2023) “Modality-Agnostic Variational Compression of Implicit Neural Representations”, in Proceedings of Machine Learning Research, pp. 30342–30364.
Zaidi, S. et al. (2023) “When Does Re-initialization Work?”, in Proceedings of Machine Learning Research, pp. 12–26.
Ghalebikesabi, S. et al. (2023) “Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates”, in Proceedings of Machine Learning Research, pp. 658–668.
Smith, F. et al. (2023) “Prediction-Oriented Bayesian Active Learning”, in Proceedings of Machine Learning Research, pp. 7331–7348.
Mijoule, G. et al. (2023) “Stein’s density method for multivariate continuous distributions”, Electronic Journal of Probability, 28(none).