Statistical Machine Learning Group
Statistical Machine Learning Group
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    Alexander Terenin

    Alexander Terenin

    PhD (10/2018-11/2021)

    Imperial College London

    Interests
    • Machine learning
    • Bayesian theory
    • Geometric machine learning

    Latest

    • Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
    • Willie Neiswanger: Going Beyond Global Optima with Bayesian Algorithm Execution
    • Matérn Gaussian Processes on Graphs
    • Thu Nguyen Phuoc: Neural rendering and inverse rendering using physical inductive biases
    • Matérn Gaussian Processes on Riemannian Manifolds
    • Learning Contact Dynamics using Physically Structured Neural Networks
    • Variational Integrator Networks
    • Aligning Time Series on Incomparable Space
    • Efficiently Sampling Functions from Gaussian Process Posteriors
    • Efficiently Sampling Functions from Gaussian Process Posteriors
    • Matérn Gaussian Processes on Riemannian Manifolds
    • Aligning Time Series on Incomparable Spaces
    • Variational Integrator Networks for Physically Structured Embeddings
    • Michael Lutter: Inductive Biases for Learning Robot Control

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