Statistical Machine Learning Group
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    So Takao

    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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