Statistical Machine Learning Group
Statistical Machine Learning Group
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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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