Publications

Preprints

• Harrison Zhu, Ivan Fung, Yingke Zhu, Lahiru Samarakoon (2024). Configurable Multilingual ASR with Speech Summary Representations. ArXiv. [Manuscript]
• Harrison Zhu, Adam Howes, Owen van Eer, Maxime Rischard, Dino Sejdinovic and Seth Flaxman (2022). Aggregated Gaussian Processes with Multiresolution Earth Observation Covariates. ArXiv. [Manuscript] [Code]

Papers (see complete list here)

• Harrison Zhu, Carles Balsells Rodas, Yingzhen Li (2023). Markovian Gaussian Process Variational Autoencoders. ICML. [Manuscript] [Code]
• Swapnil Mishra, Seth Flaxman, Tresnia Berah, Harrison Zhu, Mikko Pakkanen, Samir Bhatt (2022). πVAE: A Stochastic Process Prior for Bayesian Deep Learning with MCMC. Statistics and Computing. [Manuscript]
• Swapnil Mishra, James Scott, Daniel Laydon, Harrison Zhu et al. (2022).“A COVID-19 Model for Local Authorities of the United Kingdom. Journal of the Royal Statistical Society Series A: Statistics in Society. [Manuscript]
• Alexander Pondaven, Märt Bakler, Donghu Guo, Hamzah Hashim, Martin Ignatov, Samir Bhatt, Seth Flaxman, Swapnil Mishra, Harrison Zhu (2022). Neural Processes for Inpainting Satellite Images: Application to Water Body Segmentation. NeurIPS 2022 Climate Change Workshop. [Manuscript]
• Xing Liu, Harrison Zhu, Jean-François Ton, George Wynne, Andrew Duncan (2022). Grassmann Stein Variational Gradient Descent. 25th International Conference on Artificial Intelligence and Statistics. [Manuscript] [Code]
• Monod, Blenkinsop, Xi, Hebert, Bershan, Tietze, Baguelin, Bradley, Chen, Coupland, et al. (2021). Age Groups that Sustain Resurging COVID-19 Epidemics in the United States. Science. [Manuscript]
• Unwin et al. (2020). State-level tracking of COVID-19 in the United States. Nature Commications. [Manuscript]
• Hawryluk et al. (2020). Inference of COVID-19 Epidemiological Distributions from Brazilian Hospital Data. Journal of the Royal Society Interface. [Manuscript]
• Harrison Zhu, Xing Liu, Ruya Kang, Zhichao Shen, Seth Flaxman and François-Xavier Briol (2020). Bayesian probabilistic numerical integral with tree based priors. 34th Conference on Advances in Neural Information Processing Systems 2020. [Manuscript] [Code]
• Seth Flaxman, Swapnil Mishra, Axel Gandy, H Juliette T Unwin, Thomas A Mellan, Helen Coupland, Charles Whittaker, Harrison Zhu, Tresnia Berah, Jeffrey W Eaton, Mélodie Monod, Azra C Ghani, Christl A Donnelly, Steven M Riley, Michaela AC Vollmer, Neil M Ferguson, Lucy C Okell, Samir Bhatt (2020). Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe. Nature pp1-8. [Manuscript] [Code]

Discussions

• Harrison Zhu, Xing Liu, Alberto Caron, Ioanna Manolopoulou, Seth Flaxman and François-Xavier Briol (2020). Contributed Discussion of “Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects”. Bayesian Analysis, 15(3), to appear. [Journal (pp55-58)] [Manuscript] [Code]