Bayesian Probabilistic Numerical Integration with Tree-Based Models. - Harrison Zhu; Xing Liu; Ruya Kang; Zhichao Shen; Seth R. Flaxman; François-Xavier Briol (NeurIPS, 2020)

Grassmann Stein Variational Gradient Descent. - Xing Liu; Harrison Zhu; Jean-Francois Ton; George Wynne; Andrew B. Duncan (AISTATS, 2022)

Convolutional Neural Processes for Inpainting Satellite Images. - Alexander Pondaven; Märt Bakler; Donghu Guo; Hamzah Hashim; Martin Ignatov; Harrison Zhu (CoRR, 2022)

πVAE: a stochastic process prior for Bayesian deep learning with MCMC. - Swapnil Mishra; Seth R. Flaxman; Tresnia Berah; Harrison Zhu; Mikko Pakkanen; Samir Bhatt (Stat. Comput., 2022)

Markovian Gaussian Process Variational Autoencoders. - Harrison Zhu; Carles Balsells Rodas; Yingzhen Li (ICML, 2023)

Configurable Multilingual ASR with Speech Summary Representations. - Harrison Zhu; Ivan Fung; Yingke Zhu; Lahiru Samarakoon (CoRR, 2024)