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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 SapsisProceedings. Mathematical, Physical, and Engineering Sciences|March 24, 2020
Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samplesThemistoklis P SapsisPhysical Review. E|October 24, 2019
Closed-loop adaptive control of extreme events in a turbulent flowMohammad Farazmand, Themistoklis P SapsisPhysical Review. E|October 15, 2016
Dynamical indicators for the prediction of bursting phenomena in high-dimensional systemsMohammad Farazmand, Themistoklis P SapsisScience Advances|September 27, 2017
A variational approach to probing extreme events in turbulent dynamical systemsMohammad Farazmand, Themistoklis P SapsisPhilosophical 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 BlanchardChaos (Woodbury, N.Y.)|November 30, 2019
Learning the tangent space of dynamical instabilities from dataAntoine Blanchard, Themistoklis P SapsisPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 15, 2015
Unsteady evolution of localized unidirectional deep-water wave groupsWill Cousins, Themistoklis P SapsisEntropy (Basel, Switzerland)|October 25, 2024
Information FOMO: The Unhealthy Fear of Missing Out on Information-A Method for Removing Misleading Data for Healthier ModelsEthan Pickering, Themistoklis P SapsisProceedings of the National Academy of Sciences of the United States of America|October 18, 2018
Sequential sampling strategy for extreme event statistics in nonlinear dynamical systemsMustafa A Mohamad, Themistoklis P SapsisPageof 2