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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 regression
Themistoklis P Sapsis, Antoine Blanchard
Chaos (Woodbury, N.Y.)
|
November 30, 2019
Learning the tangent space of dynamical instabilities from data
Antoine Blanchard, Themistoklis P Sapsis
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 systems
Themistoklis P Sapsis
Proceedings. Mathematical, Physical, and Engineering Sciences
|
March 24, 2020
Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples
Themistoklis P Sapsis
Physical Review. E
|
October 24, 2019
Closed-loop adaptive control of extreme events in a turbulent flow
Mohammad Farazmand, Themistoklis P Sapsis
Physical Review. E
|
October 15, 2016
Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems
Mohammad Farazmand, Themistoklis P Sapsis
Science Advances
|
September 27, 2017
A variational approach to probing extreme events in turbulent dynamical systems
Mohammad Farazmand, Themistoklis P Sapsis
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
July 15, 2015
Unsteady evolution of localized unidirectional deep-water wave groups
Will Cousins, Themistoklis P Sapsis
Entropy (Basel, Switzerland)
|
October 25, 2024
Information FOMO: The Unhealthy Fear of Missing Out on Information-A Method for Removing Misleading Data for Healthier Models
Ethan Pickering, Themistoklis P Sapsis
Proceedings 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 systems
Mustafa A Mohamad, Themistoklis P Sapsis
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of 2
Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
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 regression
Themistoklis P Sapsis, Antoine Blanchard
Chaos (Woodbury, N.Y.)
|
November 30, 2019
Learning the tangent space of dynamical instabilities from data
Antoine Blanchard, Themistoklis P Sapsis
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 systems
Themistoklis P Sapsis
Proceedings. Mathematical, Physical, and Engineering Sciences
|
March 24, 2020
Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples
Themistoklis P Sapsis
Physical Review. E
|
October 24, 2019
Closed-loop adaptive control of extreme events in a turbulent flow
Mohammad Farazmand, Themistoklis P Sapsis
Physical Review. E
|
October 15, 2016
Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems
Mohammad Farazmand, Themistoklis P Sapsis
Science Advances
|
September 27, 2017
A variational approach to probing extreme events in turbulent dynamical systems
Mohammad Farazmand, Themistoklis P Sapsis
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
July 15, 2015
Unsteady evolution of localized unidirectional deep-water wave groups
Will Cousins, Themistoklis P Sapsis
Entropy (Basel, Switzerland)
|
October 25, 2024
Information FOMO: The Unhealthy Fear of Missing Out on Information-A Method for Removing Misleading Data for Healthier Models
Ethan Pickering, Themistoklis P Sapsis
Proceedings 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 systems
Mustafa A Mohamad, Themistoklis P Sapsis
Page
of 2