Statistical Machine Learning Group
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So Takao
Senior Research Fellow (11/2020 - 07/2023)
University College London
Interests
Machine learning
Climate science
Fluid mechanics
Geometric mechanics
Blog posts
Iterative State Estimation in Non-linear Dynamical Systems Using Approximate Expectation Propagation (Jun 2022)
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels (Dec 2021)
Publications
Actually Sparse Variational Gaussian Processes (2023)
Actually Sparse Variational Gaussian Processes (2022)
Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes (2022)
Iterative State Estimation in Non-linear Dynamical Systems Using Approximate Expectation Propagation (2022)
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels (2021)
Seminar organization
Ollie Hamelijnck: Spatio-Temporal Variational Gaussian Processes (Mar 2022)
William Gregory: Improving Arctic Sea Ice Predictability with Gaussian Processes (Nov 2021)
Rachel Prudden: Stochastic Downscaling for Convective Regimes with Gaussian Random Fields (Sep 2021)
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