Themistoklis P. Sapsis

According to our database1, Themistoklis P. Sapsis authored at least 26 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Bayesian optimization with output-weighted optimal sampling.
J. Comput. Phys., 2021

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

Sparse Methods for Automatic Relevance Determination.
CoRR, 2020

Bayesian Optimization with Output-Weighted Importance Sampling.
CoRR, 2020

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

Machine Learning the Tangent Space of Dynamical Instabilities from Data.
CoRR, 2019

Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples.
CoRR, 2019

Model Order Reduction for Stochastic Dynamical Systems with Continuous Symmetries.
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

Reduced-order prediction of rogue waves in two-dimensional deep-water waves.
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

A probabilistic decomposition-synthesis method for the quantification of rare events due to internal instabilities.
J. Comput. Phys., 2016

Probabilistic Description of Extreme Events in Intermittently Unstable Dynamical Systems Excited by Correlated Stochastic Processes.
SIAM/ASA J. Uncertain. Quantification, 2015

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

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

Localized Instability and Attraction along Invariant Manifolds.
SIAM J. Appl. Dyn. Syst., 2010