Expectation Propagation in Gaussian Process Dynamical Systems: Extended Version

12 July 2012

Papers citing "Expectation Propagation in Gaussian Process Dynamical Systems: Extended Version"

6 / 6 papers shown

Title
A projected nonlinear state-space model for forecasting time series signals Christian Donner Anuj Mishra Hideaki Shimazaki AI4TS 21 0 0 22 Nov 2023
Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors Danil Kuzin Olga Isupova Lyudmila Mihaylova 18 8 0 15 Jul 2018
Identification of Gaussian Process State Space Models Stefanos Eleftheriadis Tom Nicholson M. Deisenroth J. Hensman 24 111 0 30 May 2017
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation T. Bui Josiah Yan Richard Turner 18 25 0 23 May 2016
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models Andreas Svensson Arno Solin Simo Särkkä Thomas B. Schon 21 57 0 07 Jun 2015
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC R. Frigola Fredrik Lindsten Thomas B. Schon C. Rasmussen 56 147 0 12 Jun 2013