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Proceedings of the National Academy of Sciences of the United States of America|May 15, 2014
Blended particle filters for large-dimensional chaotic dynamical systemsAndrew J Majda, Di Qi, Themistoklis P Sapsis
Proceedings of the National Academy of Sciences of the United States of America|August 7, 2013
Statistically accurate low-order models for uncertainty quantification in turbulent dynamical systemsThemistoklis P Sapsis, Andrew J Majda
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|July 25, 2018
New perspectives for the prediction and statistical quantification of extreme events in high-dimensional dynamical systemsThemistoklis P Sapsis
Proceedings. Mathematical, Physical, and Engineering Sciences|March 24, 2020
Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samplesThemistoklis P Sapsis
Physical Review. E|October 24, 2019
Closed-loop adaptive control of extreme events in a turbulent flowMohammad Farazmand, Themistoklis P Sapsis
Physical Review. E|October 15, 2016
Dynamical indicators for the prediction of bursting phenomena in high-dimensional systemsMohammad Farazmand, Themistoklis P Sapsis
Science Advances|September 27, 2017
A variational approach to probing extreme events in turbulent dynamical systemsMohammad Farazmand, Themistoklis P Sapsis
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|June 20, 2022
Optimal criteria and their asymptotic form for data selection in data-driven reduced-order modelling with Gaussian process regressionThemistoklis P Sapsis, Antoine Blanchard
Chaos (Woodbury, N.Y.)|November 30, 2019
Learning the tangent space of dynamical instabilities from dataAntoine Blanchard, Themistoklis P Sapsis
Proceedings of the National Academy of Sciences of the United States of America|May 17, 2017
Effective control of complex turbulent dynamical systems through statistical functionalsAndrew J Majda, Di Qi
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