Difference between revisions of "GP SSM"
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* R. Turner, M.P. Deisenroth, C.E. Rasmussen, [[Media:StateSpaceInferenceLearningGPs.pdf | State-Space Inference and Learning with Gaussian Process]]; | * R. Turner, M.P. Deisenroth, C.E. Rasmussen, [[Media:StateSpaceInferenceLearningGPs.pdf | State-Space Inference and Learning with Gaussian Process]]; | ||
* A. McHutchon, [[Media:NonlinearModellingControlUsingGPs.pdf | Nonlinear Modelling and Control Using Gaussian Processes]] (Ph.D. thesis, Cambridge University) | * A. McHutchon, [[Media:NonlinearModellingControlUsingGPs.pdf | Nonlinear Modelling and Control Using Gaussian Processes]] (Ph.D. thesis, Cambridge University) | ||
| + | * J. Ko, D. Fox, [[Media:GPBayesFilters.pdf | GP-BayesFilters: Bayesian filtering using Gaussian Process Prediction and Observation Models]] | ||
* F. Perez-Cruz, S.V. Vaerenbergh, J.J. Murrillo-Fuentes, M. Lazarro-Gredilla, and I. Santamaria, [[Media:GPforNonlinearSignalProcessing.pdf | Gaussian Processes for Nonlinear Signal Processing]]; | * F. Perez-Cruz, S.V. Vaerenbergh, J.J. Murrillo-Fuentes, M. Lazarro-Gredilla, and I. Santamaria, [[Media:GPforNonlinearSignalProcessing.pdf | Gaussian Processes for Nonlinear Signal Processing]]; | ||
* A. Svensson, A. Solin, S. Sarkka, T.B. Schon, [[Media:EfficientBayesianLearmingGPSSMs.pdf | Computationall Efficient Bayesian Learning of Gaussian Process State Space Models]] | * A. Svensson, A. Solin, S. Sarkka, T.B. Schon, [[Media:EfficientBayesianLearmingGPSSMs.pdf | Computationall Efficient Bayesian Learning of Gaussian Process State Space Models]] | ||
Revision as of 23:51, 27 July 2017
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. McHutchon, Nonlinear Modelling and Control Using Gaussian Processes (Ph.D. thesis, Cambridge University)
- J. Ko, D. Fox, GP-BayesFilters: Bayesian filtering using Gaussian Process Prediction and Observation Models
- F. Perez-Cruz, S.V. Vaerenbergh, J.J. Murrillo-Fuentes, M. Lazarro-Gredilla, and I. Santamaria, Gaussian Processes for Nonlinear Signal Processing;
- 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
- M.P. Deisenroth, D. Fox, C.E. Rasmussen, Gaussian Processes for Data-Efficient Learning in Robotics and Control;
- K. Jocikan, Dynamic GP Models: An Overview and Recent Developments;
