Constantinos I. Siettos

76 papers C 3Journal 71Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RANDSMAPs: Random-Feature/multi-Scale Neural Decoders with Mass Preservation. CoRR Dimitrios G. Patsatzis, Alessandro Della Pia, Lucia Russo, Constantinos I. Siettos
2026	J	`jnl`	Stability and Bifurcation Analysis of Nonlinear PDEs via Random Projection-based PINNs: A Krylov-Arnoldi Approach. CoRR Gianluca Fabiani, Michail E. Kavousanakis, Constantinos I. Siettos, Ioannis G. Kevrekidis
2025	J	`jnl`	A Hybrid Neural Network - Polynomial Series Scheme for Learning Invariant Manifolds of Discrete Dynamical Systems. CoRR Dimitrios G. Patsatzis, Nikolaos Kazantzis, Ioannis G. Kevrekidis, Constantinos I. Siettos
2025	J	`jnl`	Enabling Local Neural Operators to perform Equation-Free System-Level Analysis. CoRR Gianluca Fabiani, Hannes Vandecasteele, Somdatta Goswami, Constantinos I. Siettos, Ioannis G. Kevrekidis
2025	J	`jnl`	Equation-Free Coarse Control of Distributed Parameter Systems via Local Neural Operators. CoRR Gianluca Fabiani, Constantinos I. Siettos, Ioannis G. Kevrekidis
2025	J	`jnl`	Fredholm Neural Networks for forward and inverse problems in elliptic PDEs. CoRR Kyriakos Georgiou, Constantinos I. Siettos, Athanasios N. Yannacopoulos
2025	J	`jnl`	Fredholm Neural Networks. SIAM J. Sci. Comput. Kyriakos Georgiou, Constantinos I. Siettos, Athanasios N. Yannacopoulos
2025	J	`jnl`	GoRINNs: Godunov-Riemann informed neural networks for learning hyperbolic conservation laws. J. Comput. Phys. Dimitrios G. Patsatzis, Mario di Bernardo, Lucia Russo, Constantinos I. Siettos
2025	J	`jnl`	HEATNETs: Explainable Random Feature Neural Networks for High-Dimensional Parabolic PDEs. CoRR Kyriakos Georgiou, Gianluca Fabiani, Constantinos I. Siettos, Athanasios N. Yannacopoulos
2025	J	`jnl`	Next Generation Equation-Free Multiscale Modelling of Crowd Dynamics via Machine Learning. CoRR Hector Vargas Alvarez, Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos
2025	J	`jnl`	PDE-Free Mass-Constrained Learning of Complex Systems with Hidden States: The crowd dynamics case. CoRR Gianmaria Viola, Alessandro Della Pia, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos
2025	J	`jnl`	RandONets: Shallow networks with random projections for learning linear and nonlinear operators. J. Comput. Phys. Gianluca Fabiani, Ioannis G. Kevrekidis, Constantinos I. Siettos, Athanasios N. Yannacopoulos
2025	J	`jnl`	Surrogate normal-forms for the numerical bifurcation and stability analysis of navier-stokes flows via machine learning. CoRR Alessandro Della Pia, Dimitrios G. Patsatzis, Gianluigi Rozza, Lucia Russo, Constantinos I. Siettos
2024	J	`jnl`	A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs. CoRR Dimitrios G. Patsatzis, Lucia Russo, Constantinos I. Siettos
2024	J	`jnl`	Fredholm Neural Networks. CoRR Kyriakos Georgiou, Constantinos I. Siettos, Athanasios N. Yannacopoulos
2024	J	`jnl`	GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Laws. CoRR Dimitrios G. Patsatzis, Mario di Bernardo, Lucia Russo, Constantinos I. Siettos
2024	J	`jnl`	Learning the Latent dynamics of Fluid flows from High-Fidelity Numerical Simulations using Parsimonious Diffusion Maps. CoRR Alessandro Della Pia, Dimitrios G. Patsatzis, Lucia Russo, Constantinos I. Siettos
2024	J	`jnl`	Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks. CoRR Hector Vargas Alvarez, Gianluca Fabiani, Ioannis G. Kevrekidis, Nikolaos Kazantzis, Constantinos I. Siettos
2024	J	`jnl`	RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators. CoRR Gianluca Fabiani, Ioannis G. Kevrekidis, Constantinos I. Siettos, Athanasios N. Yannacopoulos
2024	J	`jnl`	Slow Invariant Manifolds of Fast-Slow Systems of ODEs with Physics-Informed Neural Networks. SIAM J. Appl. Dyn. Syst. Dimitrios G. Patsatzis, Lucia Russo, Constantinos I. Siettos
2024	J	`jnl`	Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning. SIAM J. Sci. Comput. Dimitrios G. Patsatzis, Gianluca Fabiani, Lucia Russo, Constantinos I. Siettos
2024	J	`jnl`	Stability Analysis of Physics-Informed Neural Networks for Stiff Linear Differential Equations. CoRR Gianluca Fabiani, Erik Bollt, Constantinos I. Siettos, Athanasios N. Yannacopoulos
2023	J	`jnl`	Data-driven control of agent-based models: An Equation/Variable-free machine learning approach. J. Comput. Phys. Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos
2023	J	`jnl`	Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator. CoRR Ioannis K. Gallos, Daniel Lehmberg, Felix Dietrich, Constantinos I. Siettos
2023	J	`jnl`	Discrete-Time Nonlinear Feedback Linearization via Physics-Informed Machine Learning. CoRR Hector Vargas Alvarez, Gianluca Fabiani, Nikolaos Kazantzis, Constantinos I. Siettos, Ioannis G. Kevrekidis
2023	J	`jnl`	Discrete-time nonlinear feedback linearization via physics-informed machine learning. J. Comput. Phys. Hector Vargas Alvarez, Gianluca Fabiani, Nikolaos Kazantzis, Constantinos I. Siettos, Ioannis G. Kevrekidis
2023	J	`jnl`	Numerical Bifurcation Analysis of Turing and Symmetry Broken Patterns of a Vegetation PDE Model. CoRR Konstantinos G. Spiliotis, Lucia Russo, Francesco Giannino, Constantinos I. Siettos
2023	J	`jnl`	Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning. CoRR Dimitrios G. Patsatzis, Gianluca Fabiani, Lucia Russo, Constantinos I. Siettos
2023	J	`jnl`	Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points. CoRR Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Cristina P. Martin-Linares, Constantinos I. Siettos, Ioannis G. Kevrekidis
2022	J	`jnl`	A numerical method for the approximation of stable and unstable manifolds of microscopic simulators. Numer. Algorithms Constantinos I. Siettos, Lucia Russo
2022	J	`jnl`	Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach. CoRR Evangelos Galaris, Gianluca Fabiani, Ioannis Gallos, Ioannis G. Kevrekidis, Constantinos I. Siettos
2022	J	`jnl`	Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach. CoRR Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos
2022	J	`jnl`	Designing Social Distancing Policies for the COVID-19 Pandemic: A probabilistic model predictive control approach. CoRR Antonis Armaou, Bryce Katch, Lucia Russo, Constantinos I. Siettos
2022	J	`jnl`	Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data. CoRR Seungjoon Lee, Yorgos M. Psarellis, Constantinos I. Siettos, Ioannis G. Kevrekidis
2022	J	`jnl`	Numerical Bifurcation Analysis of PDEs From Lattice Boltzmann Model Simulations: a Parsimonious Machine Learning Approach. J. Sci. Comput. Evangelos Galaris, Gianluca Fabiani, Ioannis Gallos, Ioannis G. Kevrekidis, Constantinos I. Siettos
2022	J	`jnl`	Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs. CoRR Gianluca Fabiani, Evangelos Galaris, Lucia Russo, Constantinos I. Siettos
2021	J	`jnl`	A biophysical network model reveals the link between deficient inhibitory cognitive control and major neurotransmitter and neural connectivity hypotheses in schizophrenia. CoRR Konstantinos G. Spiliotis, Giannis Kahramanoglou, Jens Starke, Nikolaos Smyrnis, Constantinos I. Siettos
2021	J	`jnl`	Mathematical modelling and numerical bifurcation analysis of inbreeding and interdisciplinarity dynamics in academia. J. Comput. Appl. Math. Stefano Mazzoleni, Lucia Russo, Francesco Giannino, Gerardo Toraldo, Constantinos I. Siettos
2021	J	`jnl`	Numerical Solution and Bifurcation Analysis of Nonlinear Partial Differential Equations with Extreme Learning Machines. CoRR Gianluca Fabiani, Francesco Calabrò, Lucia Russo, Constantinos I. Siettos
2021	J	`jnl`	Numerical Solution of Stiff Ordinary Differential Equations with Random Projection Neural Networks. CoRR Evangelos Galaris, Francesco Calabrò, Daniela di Serafino, Constantinos I. Siettos
2021	J	`jnl`	Numerical solution and bifurcation analysis of nonlinear partial differential equations with extreme learning machines. J. Sci. Comput. Gianluca Fabiani, Francesco Calabrò, Lucia Russo, Constantinos I. Siettos
2021	J	`jnl`	Time Series Forecasting Using Manifold Learning. CoRR Panagiotis Papaioannou, Ronen Talmon, Daniela di Serafino, Constantinos I. Siettos
2020	J	`jnl`	Construction of embedded fMRI resting state functional connectivity networks using manifold learning. CoRR Ioannis Gallos, Evangelos Galaris, Constantinos I. Siettos
2020	J	`jnl`	EEG source localization analysis in epileptic children during a visual working-memory task. CoRR Evangelos Galaris, Ioannis Gallos, Ivan Myatchin, Lieven Lagae, Constantinos I. Siettos
2020	J	`jnl`	Extreme learning machine collocation for the numerical solution of elliptic PDEs with sharp gradients. CoRR Francesco Calabrò, Gianluca Fabiani, Constantinos I. Siettos
2019	J	`jnl`	A Numerical Method for the Parametrization of Stable and Unstable Manifolds of Microscopic Simulators. CoRR Constantinos I. Siettos, Lucia Russo
2019	J	`jnl`	Analytical and Numerical Bifurcation Analysis of a Forest-Grassland Ecosystem Model with Human Interaction. CoRR Konstantinos G. Spiliotis, Lucia Russo, Francesco Giannino, Constantinos I. Siettos
2019	J	`jnl`	Coarse-scale PDEs from fine-scale observations via machine learning. CoRR Seungjoon Lee, Mahdi Kooshkbaghi, Konstantinos G. Spiliotis, Constantinos I. Siettos, Ioannis G. Kevrekidis
2017	—	`conf`	S&P500 Forecasting and trading using convolution analysis of major asset classes. EUSPN/ICTH Panagiotis Papaioannou, Thomas Dionysopoulos, Lucia Russo, Francesco Giannino, Dietmar Janetzko, Constantinos I. Siettos
2015	J	`jnl`	Tuning the average path length of complex networks and its influence to the emergent dynamics of the majority-rule model. Math. Comput. Simul. Andreas I. Reppas, Konstantinos G. Spiliotis, Constantinos I. Siettos
2014	J	`jnl`	Coarse-grained computational stability analysis and acceleration of the collective dynamics of a Monte Carlo simulation of bacterial locomotion. Appl. Math. Comput. Constantinos I. Siettos
2014	J	`jnl`	Granger causality analysis reveals distinct spatio-temporal connectivity patterns in motor and perceptual visuo-spatial working memory. Frontiers Comput. Neurosci. Foteini Protopapa, Constantinos I. Siettos, Ioannis Evdokimidis, Nikolaos Smyrnis
2014	J	`jnl`	Tuning the average path length of complex networks and its influence to the emergent dynamics of the majority-rule model. CoRR Andreas I. Reppas, Konstantinos G. Spiliotis, Constantinos I. Siettos
2013	J	`jnl`	Can social microblogging be used to forecast intraday exchange rates? CoRR Panagiotis Papaioannou, Lucia Russo, George Papaioannou, Constantinos I. Siettos
2013	J	`jnl`	Complex Systems Modelling, Analysis, and Control. J. Appl. Math. Constantinos I. Siettos, Yannick De Decker, Georgios C. Georgiou
2012	J	`jnl`	Single-trial magnetoencephalography signals encoded as an unfolding decision process. NeuroImage Nikolaos Smyrnis, Dimitris S. Mylonas, Roozbeh Rezaie, Constantinos I. Siettos, Errikos M. Ventouras, Periklis Y. Ktonas, Ioannis Evdokimidis, Andrew C. Papanicolaou
2011	J	`jnl`	A timestepper-based approach for the coarse-grained analysis of microscopic neuronal simulators on networks: Bifurcation and rare-events micro- to macro-computations. Neurocomputing Konstantinos G. Spiliotis, Constantinos I. Siettos
2011	—	`conf`	Dynamic analysis of EEG signals during spatial working memory used for either perception discrimination or planning of action. EMBC Foteini Protopapa, Dimitris S. Mylonas, Konstantinos G. Spiliotis, Constantinos I. Siettos, Nikolaos Smyrnis, Ioannis Evdokimidis
2011	J	`jnl`	Equation-Free multiscale computational analysis of individual-based epidemic dynamics on networks. Appl. Math. Comput. Constantinos I. Siettos
2011	J	`jnl`	On the effect of the path length and transitivity of small-world networks on epidemic dynamics CoRR Andreas I. Reppas, Konstantinos G. Spiliotis, Constantinos I. Siettos
2010	J	`jnl`	Coarse-Grained Analysis of Microscopic Neuronal Simulators on Networks: Bifurcation and Rare-events computations CoRR Konstantinos G. Spiliotis, Constantinos I. Siettos
2010	J	`jnl`	Equation-Free Multiscale Computational Analysis of Individual-Based Epidemic Dynamics on Networks CoRR Constantinos I. Siettos
2010	J	`jnl`	Equation-Free Multiscale Computations in Social Networks: from Agent-Based Modeling to Coarse-Grained Stability and bifurcation Analysis. Int. J. Bifurc. Chaos Andreas C. Tsoumanis, Constantinos I. Siettos, George V. Bafas, Ioannis G. Kevrekidis
2010	J	`jnl`	Multiscale Computations on Neural Networks: from the Individual Neuron Interactions to the Macroscopic-Level Analysis. Int. J. Bifurc. Chaos Konstantinos G. Spiliotis, Constantinos I. Siettos
2009	J	`jnl`	Multiscale Computations on Neural Networks: From the Individual Neuron Interactions to the Macroscopic-Level Analysis CoRR Konstantinos G. Spiliotis, Constantinos I. Siettos
2008	J	`jnl`	A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990. Appl. Math. Comput. Alex Alexandridis, D. Vakalis, Constantinos I. Siettos, George V. Bafas
2008	C	`conf`	The influence of infection control policies: A systematic study of the dynamics of an individual-based epidemic model with isolation. BIBE Andreas I. Reppas, Andreas C. Tsoumanis, Constantinos I. Siettos
2006	J	`jnl`	A systems-based approach to multiscale computation: Equation-free detection of coarse-grained bifurcations. Comput. Chem. Eng. Constantinos I. Siettos, Ramiro Rico-Martínez, Ioannis G. Kevrekidis
2006	J	`jnl`	An equation-Free Approach to Nonlinear Control: Coarse Feedback Linearization with Pole-Placement. Int. J. Bifurc. Chaos Constantinos I. Siettos, Ioannis G. Kevrekidis, Nikolaos Kazantzis
2005	J	`jnl`	Discussion on: "Power Flow Control of a Doubly-Fed Induction Machine Coupled to a Flywheel". Eur. J. Control Alex Alexandridis, Lucia Russo, Constantinos I. Siettos
2005	C	`conf`	Equation-free, coarse-grained feedback linearization. ACC Constantinos I. Siettos, Ioannis G. Kevrekidis, Nikolaos Kazantzis
2004	J	`jnl`	Coarse bifurcation Diagrams via Microscopic Simulators: a State-Feedback Control-Based Approach. Int. J. Bifurc. Chaos Constantinos I. Siettos, Ioannis G. Kevrekidis, Dimitrios Maroudas
2003	C	`conf`	Time-steppers and coarse-grained control of microscopic distributed processes. ACC Antonios Armaou, Constantinos I. Siettos, Ioannis G. Kevrekidis
2002	J	`jnl`	Semiglobal stabilization of nonlinear systems using fuzzy control and singular perturbation methods. Fuzzy Sets Syst. Constantinos I. Siettos, George V. Bafas
2002	J	`jnl`	Truncated Chebyshev series approximation of fuzzy systems for control and nonlinear system identification. Fuzzy Sets Syst. Constantinos I. Siettos, George V. Bafas, Andreas G. Boudouvis
2001	J	`jnl`	Design of a model identification fuzzy adaptive controller and stability analysis of nonlinear processes. Fuzzy Sets Syst. D. I. Sagias, E. N. Sarafis, Constantinos I. Siettos, George V. Bafas