Difference between revisions of "GP SSM"

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(Papers which are more oriented toward fluids)
(Papers which are more oriented toward fluids)
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* I. Mezic, [[Media:AnalysisFluidFlows.pdf | Analysis of Fluid Flows via Spectral Properties of the Koopman Operator]], ''Annual Review of Fluids,'' vol. 45, 357-378, 2013.
 
* I. Mezic, [[Media:AnalysisFluidFlows.pdf | Analysis of Fluid Flows via Spectral Properties of the Koopman Operator]], ''Annual Review of Fluids,'' vol. 45, 357-378, 2013.
 
* M.S Hemati, C.W. Rowley, E.A. Deem, L.N. Cattafesta, [[Media:DebiasingDMD.pdf | De-biasing the Dynamic Mode Decomposition for applied Koopman spectral analysis of noisy data sets]], ''arXiv:1502.03854v2''
 
* M.S Hemati, C.W. Rowley, E.A. Deem, L.N. Cattafesta, [[Media:DebiasingDMD.pdf | De-biasing the Dynamic Mode Decomposition for applied Koopman spectral analysis of noisy data sets]], ''arXiv:1502.03854v2''
* J.H. Tu, [[Media:DMDThesis.pdf | Dynamic Mode Decomposition, Theory and Applications]], Ph.D. Thesis, Princeton, 2013.
+
* J.H. Tu, [[Media:DMDTheoryApplicationsThesis.pdf | Dynamic Mode Decomposition, Theory and Applications]], Ph.D. Thesis, Princeton, 2013.
  
 
==== Some Early Papers ====
 
==== Some Early Papers ====
 
* I. Mezic and A. Banaszuk, [[Media:ComparisonSystems.pdf | Comparison of Systems with Complex Behavior]], ''Physica D'', vol. 197, pp. 101-133, 2004.
 
* I. Mezic and A. Banaszuk, [[Media:ComparisonSystems.pdf | Comparison of Systems with Complex Behavior]], ''Physica D'', vol. 197, pp. 101-133, 2004.

Revision as of 00:51, 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 are more oriented toward fluids

Some Early Papers