Difference between revisions of "GP SSM"

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m (Papers on Koopman Spectral methods)
(Papers on Koopman Spectral methods)
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* I. Mezic, [[Media:ApplicationsSpectralTheoryKoopman.pdf | On the Applications of the Theory of the Koopman Operator in Dynamical Systems and Control Theory]], ''Proc. IEEE Conf. Decision Control'', 2015
 
* I. Mezic, [[Media:ApplicationsSpectralTheoryKoopman.pdf | On the Applications of the Theory of the Koopman Operator in Dynamical Systems and Control Theory]], ''Proc. IEEE Conf. Decision Control'', 2015
 
* M.O. Williams, C. Rowley, I.G. Kevrekidis, [[Media:DataDrivenApproximation.pdf | A Data-Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition]], ''J. Nonlinear Science'', vol. 25, 2015.
 
* M.O. Williams, C. Rowley, I.G. Kevrekidis, [[Media:DataDrivenApproximation.pdf | A Data-Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition]], ''J. Nonlinear Science'', vol. 25, 2015.
* D. Giannakis, [[Media:DataDrivenSpectralDecomposition.pdf | Data-Driven Special Deocomposition and Forecasting of ergodic dynamical systems]], ''arXiv:1507.02338v2''
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* D. Giannakis, [[Media:DataDrivenSpectralDecomposition.pdf | Data-Driven Spectral Decomposition and Forecasting of ergodic dynamical systems]], ''arXiv:1507.02338v2''
  
 
==== Papers which focus on fluids ====
 
==== Papers which focus on fluids ====

Revision as of 00:41, 9 January 2018

This page gathers references and materials related to the study of

  • Gaussian Process (GP) State Space Models (SSM)
  • Deep Learning
  • Koopman Spectral Methods.

Gaussian Process Approaches

Basic Gaussian Process Info

  • Rasmussen and Williams

Web Links

Papers on GP-SSMs


Deep Learning

Papers on Deep Learning

  • Soatto Paper

Web Links

Koopman Spectral Method

Papers on Koopman Spectral methods

Papers which focus on fluids

Some Early Papers