This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published: August 14, 2014

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published: August 14, 2013

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published: August 14, 2012

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

Portfolio item number 1

Short description of portfolio item number 1

Portfolio item number 2

Short description of portfolio item number 2

publications

Publications

Published in , 1900

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]

talks

Talks and Presentations

[23-29 July 2023, Preview Presentation, Poster] “Markovian Gaussian Process Variational Autoencoders”, ICML 2023
[9th December 2022, Poster] “Convolutional Neural Processes for Inpainting Satellite Images: Application to Water Body Segmentation”, Tackling Climate Change with Machine Learning Workshop, NeurIPS 2022
[23rd July 2022, Poster] “Markovian Gaussian Process Variational Autoencoders”, Continuous time methods for machine learning workshop, Baltimore
[7th June 2022, Poster], “Markovian Gaussian Process Variational Autoencoders”, Towards the Future of AI, Imperial College London
[October 2022, Talk], “Internship Project Presentation”, Workshop on ExplainableAI, Amazon Machine Learning Conference 2022
[28-30 March 2022, Preview Presentation, Poster] “Grassmann Stein Variational Gradient Descent”, AISTATS 2022
[4-6 April 2022, Poster] “Aggregated Gaussian Processes for Multiresolution Earth Observation Covariates”, StatML-Amazon Workshop, Amazon Berlin
[8th December 2021, Poster] “Grassman Stein Variational Gradient Descent”, Stein’s Method in Computational Statistics Workshop, Royal Statistical Society
[6-12 December 2020, Preview Presentation, Poster] “Bayesian Probabilistic Numerical Integration with Tree-Based Models”, NeurIPS 2020
[18th Nov 2020, Presentation] “Probabilistic Numerical Integration” with George Wynne (Imperial), Matthew Fisher (Newcastle) and Chris Oates (Newcastle and The Alan Turing Institute). Bayesian Young Statisticians Meeting: Online (BAYSM:O), junior section (j-ISBA) of the International Society for Bayesian Analysis (ISBA)
[14th Oct 2020, Presentation] “Bayesian Probabilistic Numerical Integration with Tree-Based Models” - Data Centric Engineering Reading Group, Alan Turing Institute
[30th May 2020, Presentation] “Bayesian Probabilistic Numerical Integration with Tree-Based Models”, Computational Statistics Reading Group, University College London
[19th Feb 2020, Presentation] “Bayesian Probabilistic Numerical Integration with Tree-Based Models”, Cambridge-Imperial Computational PhD Seminar, Cambridge University
[4th Nov 2019, Presentation] “Bayesian Additive Regression Trees (BART) for Bayesian Quadrature”, Data Science Institute 5th Year Anniversary Poster Session, Imperial College London

teaching

, , 1900

Teaching

tbc

Harrison Zhu

Sitemap

Pages

Posts

portfolio

publications

talks

teaching

Teaching