5 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 5 cited
Markovian Gaussian Process Variational Autoencoders
Harrison Zhu, Carles Balsells Rodas, Yingzhen Li
Sequential VAEs have been successfully considered for many high-dimensional time series modelling problems, with many variant models relying on discrete-time mechanisms such as rec…
stat.ML2022★ 4 cited
Grassmann Stein Variational Gradient Descent
Xing Liu, Harrison Zhu, Jean-François Ton +2
Stein variational gradient descent (SVGD) is a deterministic particle inference algorithm that provides an efficient alternative to Markov chain Monte Carlo. However, SVGD has been…
stat.AP2021★ 1 cited
Aggregated Gaussian Processes with Multiresolution Earth Observation Covariates
Harrison Zhu, Adam Howes, Owen van Eer +4
For many survey-based spatial modelling problems, responses are observed as spatially aggregated over survey regions due to limited resources. Covariates, from weather models and s…