Themistoklis P. Sapsis
Orcid: 0000-0003-0302-0691
According to our database1,
Themistoklis P. Sapsis
authored at least 40 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics.
CoRR, 2024
2023
Nat. Mac. Intell., October, 2023
Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems.
CoRR, 2023
2022
Nat. Comput. Sci., 2022
Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics.
SIAM/ASA J. Uncertain. Quantification, 2022
Information FOMO: The unhealthy fear of missing out on information. A method for removing misleading data for healthier models.
CoRR, 2022
CoRR, 2022
Structure and Distribution Metric for Quantifying the Quality of Uncertainty: Assessing Gaussian Processes, Deep Neural Nets, and Deep Neural Operators for Regression.
CoRR, 2022
2021
Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification.
SIAM/ASA J. Uncertain. Quantification, 2021
A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets.
J. Comput. Phys., 2021
Output-weighted and relative entropy loss functions for deep learning precursors of extreme events.
CoRR, 2021
Hybrid quadrature moment method for accurate and stable representation of non-Gaussian processes and their dynamics.
CoRR, 2021
2020
Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.
Neural Networks, 2020
Output-Weighted Importance Sampling for Bayesian Experimental Design and Uncertainty Quantification.
CoRR, 2020
Informative Path Planning for Anomaly Detection in Environment Exploration and Monitoring.
CoRR, 2020
2019
Analytical Description of Optimally Time-Dependent Modes for Reduced-Order Modeling of Transient Instabilities.
SIAM J. Appl. Dyn. Syst., 2019
Machine Learning Predictors of Extreme Events Occurring in Complex Dynamical Systems.
Entropy, 2019
Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms.
CoRR, 2019
Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples.
CoRR, 2019
2018
SIAM J. Sci. Comput., 2018
A sequential sampling strategy for extreme event statistics in nonlinear dynamical systems.
CoRR, 2018
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks.
CoRR, 2018
2017
J. Comput. Phys., 2017
A robust bi-orthogonal/dynamically-orthogonal method using the covariance pseudo-inverse with application to stochastic flow problems.
J. Comput. Phys., 2017
Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads: Application to ocean engineering systems.
CoRR, 2017
2016
A probabilistic decomposition-synthesis method for the quantification of rare events due to internal instabilities.
J. Comput. Phys., 2016
2015
Probabilistic Description of Extreme Events in Intermittently Unstable Dynamical Systems Excited by Correlated Stochastic Processes.
SIAM/ASA J. Uncertain. Quantification, 2015
2014
On the equivalence of dynamically orthogonal and bi-orthogonal methods: Theory and numerical simulations.
J. Comput. Phys., 2014
Analytical Approximation of the Heavy-Tail Structure for Intermittently Unstable Complex Modes.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014
Reduced Order Probabilistic Prediction of Rogue Waves in One-Dimensional Envelope Equations.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014
2013
Blending Modified Gaussian Closure and Non-Gaussian Reduced Subspace Methods for Turbulent Dynamical Systems.
J. Nonlinear Sci., 2013
Numerical schemes for dynamically orthogonal equations of stochastic fluid and ocean flows.
J. Comput. Phys., 2013
A convergence study for SPDEs using combined Polynomial Chaos and Dynamically-Orthogonal schemes.
J. Comput. Phys., 2013
2010
SIAM J. Appl. Dyn. Syst., 2010