GP SSM

This page gathers references and materials related to the study of "Gaussian Process (GP) State Space Models (SSM)."

Basic Gaussian Process Info

• Rasmussen and Williams

Papers on GP-SSMs

• J.M. Wang, D.J. Fleet, A. Hertzmann, Gaussian Process Dynamical Models
• R. Turner, M.P. Deisenroth, C.E. Rasmussen, State-Space Inference and Learning with Gaussian Process;
• A. Svensson, A. Solin, S. Sarkka, T.B. Schon, Computationall Efficient Bayesian Learning of Gaussian Process State Space Models
• A.C. Damianou, M.K. Titsias, N.D. Lawrence, Variational Gaussian Process Dynamical Systems
• K. Jocikan, Dynamic GP Models: An Overview and Recent Developments;