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The Gaussian Neural Process (Advances in Approximate Bayesian Inference 2020)
Deep Gaussian Processes for Bayesian Inversion: Matt Dunlop, Courant
Gaussian Processes
Bayesian Neural Networks from a Gaussian Process Perspective
Samuel Kou | Statistical inference of dynamic systems via constrained Gaussian processes
Bayesian Surrogate Modelling of Computer Experiments using Gaussian Processes
Approximate Gaussian Variance Inference for State-Space Models
Easy introduction to gaussian process regression (uncertainty models)
Math4ML Bayesian Inference in the Gaussian distribution
Bayesian Inference and Structured Gaussian Processes from Physicists' Perspective
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Last Updated: August 20, 2026
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