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Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement
GPSS2019 - Unsupervised learning and Deep GPs
Gaussian Processes for Spatio-Temporal Mapping of Oceanographic Observations Lecture
Approximate Gaussian Variance Inference for State-Space Models
Fast variational learning in state-space Gaussian process models
Modelling London’s Air Quality Using Spatio-Temporal Gaussian Processes
GPSS2019 - Invariances in Gaussian processes and how to learn them
The Gaussian Multiplicative Approximation for State-Space Models
Explicit Link Between Periodic Covariance Functions and State Space Models -- Arno Solin
GPSS2019 - Gaussian Processes and Non-Gaussian Likelihoods
