Talks and Presentations
(outdated)
- [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