List of works - Themistoklis Sapsis

A Machine Learning Bias Correction of Large-scale Environment of Extreme Weather Events in E3SM Atmosphere Model

scientific article published on 22 November 2023

A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets

scientific article published in 2021

A minimization principle for the description of modes associated with finite-time instabilities. ⬇️

scientific article published in February 2016

A variational approach to probing extreme events in turbulent dynamical systems.

scientific article published on 22 September 2017

Data-assisted reduced-order modeling of extreme events in complex dynamical systems.

scientific article published on 24 May 2018

Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks

scientific article published on 23 May 2018

Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics

scientific article published in 2022

Hybrid quadrature moment method for accurate and stable representation of non-Gaussian processes applied to bubble dynamics

scientific article published in 2022

Learning the tangent space of dynamical instabilities from data

scientific article published on 01 November 2019

New perspectives for the prediction and statistical quantification of extreme events in high-dimensional dynamical systems

scientific article published on 01 August 2018

Optimal criteria and their asymptotic form for data selection in data-driven reduced-order modelling with Gaussian process regression

scientific article published in 2022

Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples

scientific article published on 19 February 2020

Probabilistic response and rare events in Mathieu׳s equation under correlated parametric excitation

scientific article published in 2016

Publisher's Note: "Learning the tangent space of dynamical instabilities from data" [Chaos 29, 113120 (2019)]

scientific article published on 01 January 2020

Sequential sampling strategy for extreme event statistics in nonlinear dynamical systems

article published in the Proceedings of the National Academy of Sciences of the United States of America

Wave episode based Gaussian process regression for extreme event statistics in ship dynamics: Between the Scylla of Karhunen–Loève convergence and the Charybdis of transient features

scientific article published in 2022

List of works by Themistoklis Sapsis

A Machine Learning Bias Correction of Large-scale Environment of Extreme Weather Events in E3SM Atmosphere Model

A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets

A minimization principle for the description of modes associated with finite-time instabilities. ⬇️

A variational approach to probing extreme events in turbulent dynamical systems.

Data-assisted reduced-order modeling of extreme events in complex dynamical systems.

Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks

Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics

Hybrid quadrature moment method for accurate and stable representation of non-Gaussian processes applied to bubble dynamics

Learning the tangent space of dynamical instabilities from data

New perspectives for the prediction and statistical quantification of extreme events in high-dimensional dynamical systems

Optimal criteria and their asymptotic form for data selection in data-driven reduced-order modelling with Gaussian process regression

Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples

Probabilistic response and rare events in Mathieu׳s equation under correlated parametric excitation

Publisher's Note: "Learning the tangent space of dynamical instabilities from data" [Chaos 29, 113120 (2019)]

Sequential sampling strategy for extreme event statistics in nonlinear dynamical systems

Wave episode based Gaussian process regression for extreme event statistics in ship dynamics: Between the Scylla of Karhunen–Loève convergence and the Charybdis of transient features