Ioannis G. Kevrekidis

201 papers C 7Journal 188Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enabling probabilistic learning on manifolds through double diffusion maps. J. Comput. Phys. Dimitris G. Giovanis, Nikolaos Evangelou, Ioannis G. Kevrekidis, Roger G. Ghanem
2026	J	`jnl`	Generative learning for slow manifolds and bifurcation diagrams. Comput. Chem. Eng. Ellis R. Crabtree, Dimitris G. Giovanis, Nikolaos Evangelou, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2026	J	`jnl`	Multihumped Collapsing Solutions in the Nonlinear Schrödinger Problem: Existence, Stability, and Dynamics. SIAM J. Appl. Dyn. Syst. S. Jon Chapman, Michail E. Kavousanakis, Efstathios G. Charalampidis, Ioannis G. Kevrekidis, P. G. Kevrekidis
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`	A Mechanistic Analysis of Transformers for Dynamical Systems. CoRR Gregory Duthé, Nikolaos Evangelou, Wei Liu, Ioannis G. Kevrekidis, Eleni N. Chatzi
2025	J	`jnl`	A Physics-informed Multi-resolution Neural Operator. CoRR Sumanta Roy, Bahador Bahmani, Ioannis G. Kevrekidis, Michael D. Shields
2025	J	`jnl`	BumpNet: A Sparse Neural Network Framework for Learning PDE Solutions. CoRR Shao-Ting Chiu, Ioannis G. Kevrekidis, Ulisses Braga-Neto
2025	J	`jnl`	Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do? CoRR Anastasia Georgiou, Daniel Jungen, Luise F. Kaven, Verena Hunstig, Constantine Frangakis, Ioannis G. Kevrekidis, Alexander Mitsos
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`	Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps. CoRR Dimitris G. Giovanis, Nikolaos Evangelou, Ioannis G. Kevrekidis, Roger G. Ghanem
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`	Fast-slow neural networks for learning singularly perturbed dynamical systems. J. Comput. Phys. Daniel A. Serino, Allen Alvarez Loya, J. W. Burby, Ioannis G. Kevrekidis, Qi Tang
2025	J	`jnl`	From clutter to clarity: Emergent neural operators via questionnaire metrics. Comput. Chem. Eng. Anastasia S. Georgiou, Arjun Manoj, Pei-Chun Su, Ronald R. Coifman, Ioannis G. Kevrekidis, Somdatta Goswami
2025	J	`jnl`	Generative Learning for Slow Manifolds and Bifurcation Diagrams. CoRR Ellis R. Crabtree, Dimitris G. Giovanis, Nikolaos Evangelou, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2025	J	`jnl`	Generative Learning of Densities on Manifolds. CoRR Dimitris G. Giovanis, Ellis R. Crabtree, Roger G. Ghanem, Ioannis G. Kevrekidis
2025	J	`jnl`	Integrating supervised and unsupervised learning approaches to unveil critical process inputs. Comput. Chem. Eng. Paris Papavasileiou, Dimitrios G. Giovanis, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Ioannis G. Kevrekidis, Andreas G. Boudouvis, Stéphane P. A. Bordas, Eleni D. Koronaki
2025	J	`jnl`	Learning Parametric Koopman Decompositions for Prediction and Control. SIAM J. Appl. Dyn. Syst. Yue Guo, Milan Korda, Ioannis G. Kevrekidis, Qianxiao Li
2025	J	`jnl`	Neural Chaos: A Spectral Stochastic Neural Operator. CoRR Bahador Bahmani, Ioannis G. Kevrekidis, Michael D. Shields
2025	J	`jnl`	Neural chaos: A spectral stochastic neural operator. J. Comput. Phys. Bahador Bahmani, Ioannis G. Kevrekidis, Michael D. Shields
2025	J	`jnl`	Neural network-based singularity detection and applications. CoRR Nadiia Derevianko, Ioannis G. Kevrekidis, Felix Dietrich
2025	J	`jnl`	Newton-Krylov Methods for Computing Steady States of Particle Timesteppers via Optimal Transport. CoRR Hannes Vandecasteele, Nicholas Karris, Alexander Cloninger, Ioannis G. Kevrekidis
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`	On Some Tunable Multi-fidelity Bayesian Optimization Frameworks. CoRR Arjun Manoj, Anastasia S. Georgiou, Dimitris G. Giovanis, Themistoklis P. Sapsis, Ioannis G. Kevrekidis
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
2024	J	`jnl`	A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. SIAM J. Sci. Comput. Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
2024	J	`jnl`	A Resolution Independent Neural Operator. CoRR Bahador Bahmani, Somdatta Goswami, Ioannis G. Kevrekidis, Michael D. Shields
2024	J	`jnl`	Active search for Bifurcations. CoRR Yorgos M. Psarellis, Themistoklis P. Sapsis, Ioannis G. Kevrekidis
2024	J	`jnl`	Comparing analytic and data-driven approaches to parameter identifiability: A power systems case study. CoRR Nikolaos Evangelou, Alexander M. Stankovic, Ioannis G. Kevrekidis, Mark K. Transtrum
2024	J	`jnl`	Data-driven and physics informed modeling of Chinese Hamster Ovary cell bioreactors. Comput. Chem. Eng. Tianqi Cui, Tom Bertalan, Nelson Ndahiro, Pratik Khare, Michael Betenbaugh, Costas Maranas, Ioannis G. Kevrekidis
2024	J	`jnl`	Data-driven discovery of chemotactic migration of bacteria via coordinate-invariant machine learning. BMC Bioinform. Yorgos M. Psarellis, Seungjoon Lee, Tapomoy Bhattacharjee, Sujit S. Datta, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2024	J	`jnl`	Implementation and (Inverse Modified) Error Analysis for Implicitly Templated ODE-Nets. SIAM J. Appl. Dyn. Syst. Aiqing Zhu, Tom Bertalan, Beibei Zhu, Yifa Tang, Ioannis G. Kevrekidis
2024	J	`jnl`	Integrating supervised and unsupervised learning approaches to unveil critical process inputs. CoRR Paris Papavasileiou, Dimitrios G. Giovanis, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Ioannis G. Kevrekidis, Andreas G. Boudouvis, Stéphane P. A. Bordas, Eleni D. Koronaki
2024	J	`jnl`	Machine Learning Memory Kernels as Closure for Non-Markovian Stochastic Processes. IEEE Trans. Neural Networks Learn. Syst. Antonio Russo, Miguel A. Durán-Olivencia, Ioannis G. Kevrekidis, Serafim Kalliadasis
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`	Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy. CoRR Eleni D. Koronaki, Luise F. Kaven, Johannes M. M. Faust, Ioannis G. Kevrekidis, Alexander Mitsos
2024	J	`jnl`	Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era. J. Comput. Phys. Eleni D. Koronaki, Nikolaos Evangelou, Cristina P. Martin-Linares, Edriss S. Titi, Ioannis G. Kevrekidis
2024	J	`jnl`	On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. CoRR David W. Sroczynski, Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt, Ioannis G. Kevrekidis
2024	J	`jnl`	On-manifold projected gradient descent. Frontiers Comput. Sci. Aaron Mahler, Tyrus Berry, Tom Stephens, Harbir Antil, Michael Merritt, Jeanie Schreiber, Ioannis G. Kevrekidis
2024	J	`jnl`	Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification. CoRR Dimitris G. Giovanis, Dimitrios Loukrezis, Ioannis G. Kevrekidis, Michael D. Shields
2024	J	`jnl`	Polynomial chaos expansions on principal geodesic Grassmannian submanifolds for surrogate modeling and uncertainty quantification. J. Comput. Phys. Dimitris G. Giovanis, Dimitrios Loukrezis, Ioannis G. Kevrekidis, Michael D. Shields
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`	Using Linearized Optimal Transport to Predict the Evolution of Stochastic Particle Systems. CoRR Nicholas Karris, Evangelos A. Nikitopoulos, Ioannis G. Kevrekidis, Seungjoon Lee, Alexander Cloninger
2023	J	`jnl`	AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression. CoRR Mario De Florio, Ioannis G. Kevrekidis, George Em Karniadakis
2023	J	`jnl`	Certified Invertibility in Neural Networks via Mixed-Integer Programming. CoRR Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Ioannis G. Kevrekidis, Mahyar Fazlyab
2023	J	`jnl`	Data-driven and Physics Informed Modelling of Chinese Hamster Ovary Cell Bioreactors. CoRR Tianqi Cui, Tom S. Bertalan, Nelson Ndahiro, Pratik Khare, Michael Betenbaugh, Costas Maranas, Ioannis G. Kevrekidis
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`	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`	Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space. J. Comput. Phys. Nikolaos Evangelou, Felix Dietrich, Eliodoro Chiavazzo, Daniel Lehmberg, Marina Meila, Ioannis G. Kevrekidis
2023	J	`jnl`	Equation-Free Computations as DDDAS Protocols for Bifurcation Studies: A Granular Chain Example. CoRR Matthew O. Williams, Yorgos M. Psarellis, D. Pozharskiy, C. Chong, F. Li, J. Yang, Panayotis G. Kevrekidis, Ioannis G. Kevrekidis
2023	J	`jnl`	From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics. CoRR Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis
2023	J	`jnl`	From partial data to out-of-sample parameter and observation estimation with diffusion maps and geometric harmonics. Comput. Chem. Eng. Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis
2023	J	`jnl`	GANs and Closures: Micro-Macro Consistency in Multiscale Modeling. Multiscale Model. Simul. Ellis R. Crabtree, Juan M. Bello-Rivas, Andrew L. Ferguson, Ioannis G. Kevrekidis
2023	J	`jnl`	Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity. CoRR Erez Peterfreund, Iryna Burak, Ofir Lindenbaum, Jim Gimlett, Felix Dietrich, Ronald R. Coifman, Ioannis G. Kevrekidis
2023	J	`jnl`	Gentlest ascent dynamics on manifolds defined by adaptively sampled point-clouds. CoRR Juan M. Bello-Rivas, Anastasia S. Georgiou, Hannes Vandecasteele, Ioannis G. Kevrekidis
2023	J	`jnl`	Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets. CoRR Aiqing Zhu, Tom Bertalan, Beibei Zhu, Yifa Tang, Ioannis G. Kevrekidis
2023	J	`jnl`	Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis
2023	J	`jnl`	Machine Learning for the identification of phase-transitions in interacting agent-based systems. CoRR Nikolaos Evangelou, Dimitrios G. Giovanis, George A. Kevrekidis, Grigorios A. Pavliotis, Ioannis G. Kevrekidis
2023	J	`jnl`	Micro-Macro Consistency in Multiscale Modeling: Score-Based Model Assisted Sampling of Fast/Slow Dynamical Systems. CoRR Ellis R. Crabtree, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2023	J	`jnl`	Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era. CoRR Eleni D. Koronaki, Nikolaos Evangelou, Cristina P. Martin-Linares, Edriss S. Titi, Ioannis G. Kevrekidis
2023	J	`jnl`	On Equivalent Optimization of Machine Learning Methods. CoRR William T. Redman, Juan M. Bello-Rivas, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic
2023	J	`jnl`	On-Manifold Projected Gradient Descent. CoRR Aaron Mahler, Tyrus Berry, Tom Stephens, Harbir Antil, Michael Merritt, Jeanie Schreiber, Ioannis G. Kevrekidis
2023	J	`jnl`	Physics-agnostic and Physics-infused machine learning for thin films flows: modeling, and predictions from small data. CoRR Cristina P. Martin-Linares, Yorgos M. Psarellis, Georgios Karapetsas, Eleni D. Koronaki, Ioannis G. Kevrekidis
2023	J	`jnl`	Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information. Comput. Chem. Eng. Saurabh Malani, Tom S. Bertalan, Tianqi Cui, Jose L. Avalos, Michael Betenbaugh, Ioannis G. Kevrekidis
2023	J	`jnl`	Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information. CoRR Saurabh Malani, Tom S. Bertalan, Tianqi Cui, Jose L. Avalos, Michael Betenbaugh, Ioannis G. Kevrekidis
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
2023	J	`jnl`	Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling. CoRR Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Alexei Makeev, Ioannis G. Kevrekidis
2022	J	`jnl`	A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. CoRR Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
2022	J	`jnl`	Adaptively Detect and Accurately Resolve Macro-scale Shocks in an Efficient Equation-Free Multiscale Simulation. SIAM J. Sci. Comput. John Maclean, J. E. Bunder, Ioannis G. Kevrekidis, Anthony J. Roberts
2022	—	`conf`	Algorithmic (Semi-)Conjugacy via Koopman Operator Theory. CDC William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic
2022	J	`jnl`	Algorithmic (Semi-)Conjugacy via Koopman Operator Theory. CoRR William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic
2022	J	`jnl`	Black and Gray Box Learning of Amplitude Equations: Application to Phase Field Systems. CoRR Felix P. Kemeth, Sergio Alonso, Blas Echebarria, Ted Moldenhawer, Carsten Beta, Ioannis G. Kevrekidis
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`	Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space. CoRR Nikolaos Evangelou, Felix Dietrich, Eliodoro Chiavazzo, Daniel Lehmberg, Marina Meila, Ioannis G. Kevrekidis
2022	J	`jnl`	GANs and Closures: Micro-Macro Consistency in Multiscale Modeling. CoRR Ellis R. Crabtree, Juan M. Bello-Rivas, Andrew L. Ferguson, Ioannis G. Kevrekidis
2022	J	`jnl`	Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles. CoRR Nikolaos Evangelou, Felix Dietrich, Juan M. Bello-Rivas, Alex Yeh, Rachel Stein, Michael A. Bevan, Ioannis G. Kevrekidis
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`	Limits of Entrainment of Circadian Neuronal Networks. CoRR Yorgos M. Psarellis, Michail E. Kavousanakis, Michael A. Henson, 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`	Personalized Algorithm Generation: A Case Study in Learning ODE Integrators. SIAM J. Sci. Comput. Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
2022	J	`jnl`	Spectral Discovery of Jointly Smooth Features for Multimodal Data. SIAM J. Math. Data Sci. Felix Dietrich, Or Yair, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
2022	J	`jnl`	Staggered grids for multidimensional multiscale modelling. CoRR J. Divahar, Anthony J. Roberts, Trent W. Mattner, Judith E. Bunder, Ioannis G. Kevrekidis
2022	J	`jnl`	Staying the course: Locating equilibria of dynamical systems on Riemannian manifolds defined by point-clouds. CoRR Juan M. Bello-Rivas, Anastasia S. Georgiou, John Guckenheimer, Ioannis G. Kevrekidis
2022	J	`jnl`	Two novel families of multiscale staggered patch schemes efficiently simulate large-scale, weakly damped, linear waves. CoRR J. Divahar, Anthony J. Roberts, Trent W. Mattner, Judith E. Bunder, Ioannis G. Kevrekidis
2021	J	`jnl`	Adaptively detect and accurately resolve macro-scale shocks in an efficient Equation-Free multiscale simulation. CoRR John Maclean, J. E. Bunder, Ioannis G. Kevrekidis, Anthony J. Roberts
2021	J	`jnl`	An Operator Theoretic Perspective on Pruning Deep Neural Networks. CoRR William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic
2021	C	`conf`	Coarse-grained and Emergent Distributed Parameter Systems from Data. ACC Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis G. Kevrekidis
2021	J	`jnl`	Equation-free patch scheme for efficient computational homogenisation via self-adjoint coupling. Numerische Mathematik J. E. Bunder, Ioannis G. Kevrekidis, Anthony J. Roberts
2021	J	`jnl`	Exploring critical points of energy landscapes: From low-dimensional examples to phase field crystal PDEs. Commun. Nonlinear Sci. Numer. Simul. P. Subramanian, Ioannis G. Kevrekidis, P. G. Kevrekidis
2021	J	`jnl`	Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data. CoRR Yu-Chia Chen, Marina Meila, Ioannis G. Kevrekidis
2021	J	`jnl`	Initializing LSTM internal states via manifold learning. CoRR Felix P. Kemeth, Tom Bertalan, Nikolaos Evangelou, Tianqi Cui, Saurabh Malani, Ioannis G. Kevrekidis
2021	J	`jnl`	Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning. CoRR Felix Dietrich, Alexei Makeev, George Kevrekidis, Nikolaos Evangelou, Tom Bertalan, Sebastian Reich, Ioannis G. Kevrekidis
2021	J	`jnl`	Learning the temporal evolution of multivariate densities via normalizing flows. CoRR Yubin Lu, Romit Maulik, Ting Gao, Felix Dietrich, Ioannis G. Kevrekidis, Jinqiao Duan
2021	J	`jnl`	On the Correspondence between Gaussian Processes and Geometric Harmonics. CoRR Felix Dietrich, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2021	J	`jnl`	On the Parameter Combinations That Matter and on Those That do Not. CoRR Nikolaos Evangelou, Noah J. Wichrowski, George A. Kevrekidis, Felix Dietrich, Mahdi Kooshkbaghi, Sarah McFann, Ioannis G. Kevrekidis
2021	J	`jnl`	Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators. CoRR Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
2020	J	`jnl`	A Geometric Approach to the Transport of Discontinuous Densities. SIAM/ASA J. Uncertain. Quantification Caroline Moosmüller, Felix Dietrich, Ioannis G. Kevrekidis
2020	J	`jnl`	Coarse-grained and emergent distributed parameter systems from data. CoRR Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis G. Kevrekidis
2020	J	`jnl`	Emergent Spaces for Coupled Oscillators. Frontiers Comput. Neurosci. Thomas N. Thiem, Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, Ioannis G. Kevrekidis
2020	J	`jnl`	Emergent spaces for coupled oscillators. CoRR Thomas N. Thiem, Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, Ioannis G. Kevrekidis
2020	J	`jnl`	LOCA: LOcal Conformal Autoencoder for standardized data coordinates. CoRR Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman
2020	J	`jnl`	Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks. CoRR Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis
2020	J	`jnl`	Learning emergent PDEs in a learned emergent space. CoRR Felix P. Kemeth, Tom Bertalan, Thomas N. Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis
2020	J	`jnl`	Linking Machine Learning with Multiscale Numerics: Data-Driven Discovery of Homogenized Equations. CoRR Hassan Arbabi, Judith E. Bunder, Giovanni Samaey, Anthony J. Roberts, Ioannis G. Kevrekidis
2020	J	`jnl`	On the Koopman Operator of Algorithms. SIAM J. Appl. Dyn. Syst. Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis
2020	J	`jnl`	Particles to Partial Differential Equations Parsimoniously. CoRR Hassan Arbabi, Ioannis G. Kevrekidis
2020	J	`jnl`	Spectral Discovery of Jointly Smooth Features for Multimodal Data. CoRR Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
2020	J	`jnl`	Transformations between deep neural networks. CoRR Tom Bertalan, Felix Dietrich, Ioannis G. Kevrekidis
2020	J	`jnl`	Transport Map Accelerated Adaptive Importance Sampling, and Application to Inverse Problems Arising from Multiscale Stochastic Reaction Networks. SIAM/ASA J. Uncertain. Quantification Simon L. Cotter, Ioannis G. Kevrekidis, Paul T. Russell
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
2019	J	`jnl`	Correction to: Optimal deterministic algorithm generation. J. Glob. Optim. Alexander Mitsos, Jaromil Najman, Ioannis G. Kevrekidis
2019	J	`jnl`	Designing networks with resiliency to edge failures using two-stage robust optimization. Eur. J. Oper. Res. Logan R. Matthews, Chrysanthos E. Gounaris, Ioannis G. Kevrekidis
2019	J	`jnl`	Large-scale simulation of shallow water waves with computation only on small staggered patches. CoRR J. E. Bunder, J. Divahar, Ioannis G. Kevrekidis, Trent W. Mattner, Anthony J. Roberts
2019	J	`jnl`	Manifold learning for parameter reduction. J. Comput. Phys. Alexander Holiday, Mahdi Kooshkbaghi, Juan M. Bello-Rivas, C. William Gear, Antonios Zagaris, Ioannis G. Kevrekidis
2019	J	`jnl`	On the Koopman operator of algorithms. CoRR Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis
2019	J	`jnl`	Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation. CoRR Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis
2018	J	`jnl`	An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. IEEE Access Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis
2018	J	`jnl`	Data-Driven Model Reduction and Transfer Operator Approximation. J. Nonlinear Sci. Stefan Klus, Feliks Nüske, Péter Koltai, Hao Wu, Ioannis G. Kevrekidis, Christof Schütte, Frank Noé
2018	J	`jnl`	Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion. CoRR Seungjoon Lee, Felix Dietrich, George E. Karniadakis, Ioannis G. Kevrekidis
2018	J	`jnl`	On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions. SIAM J. Appl. Dyn. Syst. Erik M. Bollt, Qianxiao Li, Felix Dietrich, Ioannis G. Kevrekidis
2018	J	`jnl`	Optimal deterministic algorithm generation. J. Glob. Optim. Alexander Mitsos, Jaromil Najman, Ioannis G. Kevrekidis
2017	J	`jnl`	A general CFD framework for fault-resilient simulations based on multi-resolution information fusion. J. Comput. Phys. Seungjoon Lee, Ioannis G. Kevrekidis, George E. Karniadakis
2017	J	`jnl`	A resilient and efficient CFD framework: Statistical learning tools for multi-fidelity and heterogeneous information fusion. J. Comput. Phys. Seungjoon Lee, Ioannis G. Kevrekidis, George E. Karniadakis
2017	J	`jnl`	An Exploration Algorithm for Stochastic Simulators Driven by Energy Gradients. Entropy Anastasia S. Georgiou, Juan M. Bello-Rivas, Charles William Gear, Hau-Tieng Wu, Eliodoro Chiavazzo, Ioannis G. Kevrekidis
2017	J	`jnl`	Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural Heterogeneities. Frontiers Comput. Neurosci. Tom Bertalan, Yan Wu, Carlo R. Laing, C. William Gear, Ioannis G. Kevrekidis
2017	J	`jnl`	Good coupling for the multiscale patch scheme on systems with microscale heterogeneity. J. Comput. Phys. J. E. Bunder, Anthony J. Roberts, Ioannis G. Kevrekidis
2017	J	`jnl`	Synthesizing developmental trajectories. PLoS Comput. Biol. Paul Villoutreix, Joakim Andén, Bomyi Lim, Hang Lu, Ioannis G. Kevrekidis, Amit Singer, Stanislav Y. Shvartsman
2016	J	`jnl`	Accuracy of Patch Dynamics with Mesoscale Temporal Coupling for Efficient Massively Parallel Simulations. SIAM J. Sci. Comput. J. E. Bunder, Anthony J. Roberts, Ioannis G. Kevrekidis
2016	J	`jnl`	Coarse-Graining and Simplification of the Dynamics Seen in Bursting Neurons. SIAM J. Appl. Dyn. Syst. Aharon Ben-Tal, Ioannis G. Kevrekidis
2016	J	`jnl`	Data mining when each data point is a network. CoRR Karthikeyan Rajendran, Assimakis A. Kattis, Alexander Holiday, Risi Kondor, Ioannis G. Kevrekidis
2016	J	`jnl`	Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems. SIAM J. Appl. Dyn. Syst. Carmeline J. Dsilva, Ronen Talmon, C. William Gear, Ronald R. Coifman, Ioannis G. Kevrekidis
2016	J	`jnl`	Designing networks: A mixed-integer linear optimization approach. Networks Chrysanthos E. Gounaris, Karthikeyan Rajendran, Ioannis G. Kevrekidis, Christodoulos A. Floudas
2016	J	`jnl`	No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries. CoRR Or Yair, Ronen Talmon, Ronald R. Coifman, Ioannis G. Kevrekidis
2015	J	`jnl`	A Data-Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition. J. Nonlinear Sci. Matthew O. Williams, Ioannis G. Kevrekidis, Clarence W. Rowley
2015	J	`jnl`	Designing Networks: A Mixed-Integer Linear Optimization Approach. CoRR Chrysanthos E. Gounaris, Karthikeyan Rajendran, Ioannis G. Kevrekidis, Christodoulos A. Floudas
2015	J	`jnl`	Equation-free analysis of spike-timing-dependent plasticity. Biol. Cybern. Carlo R. Laing, Ioannis G. Kevrekidis
2014	J	`jnl`	A hybrid stochastic-deterministic algorithm for lattice-gas models of catalytic reactions and the computation of TPD spectra. Comput. Chem. Eng. Alexei Makeev, Ioannis G. Kevrekidis
2014	J	`jnl`	Time varying radial basis functions. J. Comput. Appl. Math. Arta A. Jamshidi, C. William Gear, Ioannis G. Kevrekidis
2013	J	`jnl`	Analysis of data in the form of graphs. CoRR Karthikeyan Rajendran, Ioannis G. Kevrekidis
2013	J	`jnl`	Noisy dynamic simulations in the presence of symmetry: Data alignment and model reduction. Comput. Math. Appl. Benjamin Sonday, Amit Singer, Ioannis G. Kevrekidis
2013	J	`jnl`	Simple Urban Simulation Atop Complicated Models: Multi-Scale Equation-Free Computing of Sprawl Using Geographic Automata. Entropy Paul M. Torrens, Ioannis G. Kevrekidis, Roger G. Ghanem, Yu Zou
2013	J	`jnl`	Simulating Stochastic Inertial Manifolds by a Backward-Forward Approach. SIAM J. Appl. Dyn. Syst. Xingye Kan, Jinqiao Duan, Ioannis G. Kevrekidis, Anthony J. Roberts
2013	J	`jnl`	State reduction in molecular simulations. Comput. Chem. Eng. Yuzhen Xue, Pete J. Ludovice, Martha A. Grover, Lilia V. Nedialkova, Carmeline J. Dsilva, Ioannis G. Kevrekidis
2012	J	`jnl`	Accelerating agent-based computation of complex urban systems. Int. J. Geogr. Inf. Sci. Yu Zou, Paul M. Torrens, Roger G. Ghanem, Ioannis G. Kevrekidis
2012	J	`jnl`	An equation-free approach to coarse-graining the dynamics of networks CoRR Katherine A. Bold, Karthikeyan Rajendran, Balázs Ráth, Ioannis G. Kevrekidis
2012	C	`conf`	Mathematical modeling and steady-state analysis of a co-ionic-conducting solid oxide fuel cell. ACC Mona Bavarian, Masoud Soroush, Ioannis G. Kevrekidis, Jay B. Benziger
2011	J	`jnl`	A common approach to the computation of coarse-scale steady states and to consistent initialization on a slow manifold. Comput. Chem. Eng. Christophe Vandekerckhove, Benjamin Sonday, Alexei Makeev, Dirk Roose, Ioannis G. Kevrekidis
2011	J	`jnl`	Analysis and Computation of a Discrete KdV-Burgers Type Equation with Fast Dispersion and Slow Diffusion. SIAM J. Numer. Anal. Zvi Artstein, C. William Gear, Ioannis G. Kevrekidis, Marshall Slemrod, Edriss S. Titi
2011	J	`jnl`	Generation of networks with prescribed degree-dependent clustering. Optim. Lett. Chrysanthos E. Gounaris, Karthikeyan Rajendran, Ioannis G. Kevrekidis, Christodoulos A. Floudas
2010	J	`jnl`	Bifurcations of lurching waves in a thalamic neuronal network. Biol. Cybern. Thomas M. Wasylenko, Jaime Cisternas, Carlo R. Laing, Ioannis G. Kevrekidis
2010	J	`jnl`	Coarse-grained computation for particle coagulation and sintering processes by linking Quadrature Method of Moments with Monte-Carlo. J. Comput. Phys. Yu Zou, Michail E. Kavousanakis, Ioannis G. Kevrekidis, Rodney O. Fox
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`	Reduced models for binocular rivalry. J. Comput. Neurosci. Carlo R. Laing, Thomas Frewen, Ioannis G. Kevrekidis
2009	J	`jnl`	An Efficient Newton-Krylov Implementation of the Constrained Runs Scheme for Initializing on a Slow Manifold. J. Sci. Comput. Christophe Vandekerckhove, Ioannis G. Kevrekidis, Dirk Roose
2009	J	`jnl`	Analysis of a Stochastic Chemical System Close to a SNIPER Bifurcation of Its Mean-Field Model. SIAM J. Appl. Math. Radek Erban, S. Jonathan Chapman, Ioannis G. Kevrekidis, Tomás Vejchodský
2008	J	`jnl`	Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems. Multiscale Model. Simul. Ronald R. Coifman, Ioannis G. Kevrekidis, Stéphane Lafon, Mauro Maggioni, Boaz Nadler
2008	J	`jnl`	Multiscale Integration Schemes for Jump-Diffusion Systems. Multiscale Model. Simul. Dror Givon, Ioannis G. Kevrekidis
2008	J	`jnl`	Uncertainty Quantification for Atomistic Reaction Models: An Equation-Free Stochastic Simulation Algorithm Example. Multiscale Model. Simul. Yu Zou, Ioannis G. Kevrekidis
2007	J	`jnl`	A Computer-Assisted Study of Global Dynamic Transitions for a Noninvertible System. Int. J. Bifurc. Chaos Raymond A. Adomaitis, Ioannis G. Kevrekidis, Rafael de la Llave
2007	J	`jnl`	Bistability and Oscillations in the Huang-Ferrell Model of MAPK Signaling. PLoS Comput. Biol. Liang Qiao, Robert B. Nachbar, Ioannis G. Kevrekidis, Stanislav Y. Shvartsman
2007	J	`jnl`	Condition Estimates for Pseudo-Arclength Continuation. SIAM J. Numer. Anal. K. I. Dickson, C. T. Kelley, Ilse C. F. Ipsen, Ioannis G. Kevrekidis
2007	J	`jnl`	Deciding the Nature of the Coarse Equation through Microscopic Simulations: The Baby-Bathwater Scheme. SIAM Rev. Ju Li, Panayotis G. Kevrekidis, C. William Gear, Ioannis G. Kevrekidis
2007	J	`jnl`	General Tooth Boundary Conditions for Equation Free Modeling. SIAM J. Sci. Comput. Anthony J. Roberts, Ioannis G. Kevrekidis
2007	J	`jnl`	Projective and coarse projective integration for problems with continuous symmetries. J. Comput. Phys. Michail E. Kavousanakis, Radek Erban, Andreas G. Boudouvis, C. William Gear, Ioannis G. Kevrekidis
2007	J	`jnl`	Template-Based Stabilization of Relative Equilibria in Systems with Continuous Symmetry. J. Nonlinear Sci. Sunil Ahuja, Ioannis G. Kevrekidis, Clarence W. Rowley
2007	J	`jnl`	Variance Reduction for the Equation-Free Simulation of Multiscale Stochastic Systems. Multiscale Model. Simul. Anastasia Papavasiliou, Ioannis G. Kevrekidis
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 Coupled oscillator Dynamics: the Kuramoto Model Example. Int. J. Bifurc. Chaos Sung Joon Moon, 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
2006	J	`jnl`	Patch dynamics with buffers for homogenization problems. J. Comput. Phys. Giovanni Samaey, Ioannis G. Kevrekidis, Dirk Roose
2006	C	`conf`	Template-based stabilization of relative equilibria. ACC Sunil Ahuja, Ioannis G. Kevrekidis, Clarence W. Rowley
2006	J	`jnl`	The Moment Map: Nonlinear Dynamics of Density Evolution via a Few Moments. SIAM J. Appl. Dyn. Syst. Dwight Barkley, Ioannis G. Kevrekidis, Andrew M. Stuart
2005	J	`jnl`	An equation-free, multiscale approach to uncertainty quantification. Comput. Sci. Eng. Dongbin Xiu, Ioannis G. Kevrekidis, Roger G. Ghanem
2005	J	`jnl`	Application of Coarse Integration to Bacterial Chemotaxis. Multiscale Model. Simul. S. Setayeshgar, C. William Gear, Hans G. Othmer, Ioannis G. Kevrekidis
2005	J	`jnl`	Constraint-Defined Manifolds: a Legacy Code Approach to Low-Dimensional Computation. J. Sci. Comput. C. William Gear, Ioannis G. Kevrekidis
2005	—	`conf`	Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators. NIPS Boaz Nadler, Stéphane Lafon, Ronald R. Coifman, Ioannis G. Kevrekidis
2005	J	`jnl`	Equation-Free, Effective Computation for Discrete Systems: a Time stepper Based Approach. Int. J. Bifurc. Chaos Joakim Möller, Olof Runborg, Panayotis G. Kevrekidis, Kurt Lust, Ioannis G. Kevrekidis
2005	J	`jnl`	Equation-Free, Multiscale Computation for Unsteady Random Diffusion. Multiscale Model. Simul. Dongbin Xiu, Ioannis G. Kevrekidis
2005	J	`jnl`	Equation-free gaptooth-based controller design for distributed complex/multiscale processes. Comput. Chem. Eng. Antonios Armaou, Ioannis G. Kevrekidis, Constantinos Theodoropoulos
2005	C	`conf`	Equation-free, coarse-grained feedback linearization. ACC Constantinos I. Siettos, Ioannis G. Kevrekidis, Nikolaos Kazantzis
2005	J	`jnl`	Projecting to a Slow Manifold: Singularly Perturbed Systems and Legacy Codes. SIAM J. Appl. Dyn. Syst. C. William Gear, Tasso J. Kaper, Ioannis G. Kevrekidis, Antonios Zagaris
2005	J	`jnl`	The Gap-Tooth Scheme for Homogenization Problems. Multiscale Model. Simul. Giovanni Samaey, Dirk Roose, Ioannis G. Kevrekidis
2004	J	`jnl`	Bifurcation analysis of nonlinear reaction-diffusion problems using wavelet-based reduction techniques. Comput. Chem. Eng. J. Krishnan, Olof Runborg, Ioannis G. Kevrekidis
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
2004	J	`jnl`	Optimal sensor location and reduced order observer design for distributed process systems. Comput. Chem. Eng. Antonio A. Alonso, Ioannis G. Kevrekidis, Julio R. Banga, Christos E. Frouzakis
2004	C	`conf`	The gaptooth scheme, patch dynamics and equation-free controller design for distributed complex/multiscale processes. ACC Antonios Armaou, Ioannis G. Kevrekidis, Constantinos Theodoropoulos
2003	J	`jnl`	Deciding the Nature of the Coarse Equation through Microscopic Simulations: The Baby-Bathwater Scheme. Multiscale Model. Simul. Ju Li, Panayotis G. Kevrekidis, C. William Gear, Ioannis G. Kevrekidis
2003	C	`conf`	Distributed nonlinear control of diffusion-reaction processes. ACC Stevan Dubljevic, Panagiotis D. Christofides, Ioannis G. Kevrekidis
2003	J	`jnl`	Enabling stability analysis of tubular reactor models using PDE/PDAE integrators. Comput. Chem. Eng. E. D. Koronaki, Andreas G. Boudouvis, Ioannis G. Kevrekidis
2003	—	`conf`	Optimal switching policies using coarse timesteppers. CDC Antonios Armaou, Ioannis G. Kevrekidis
2003	J	`jnl`	Projective Methods for Stiff Differential Equations: Problems with Gaps in Their Eigenvalue Spectrum. SIAM J. Sci. Comput. C. William Gear, Ioannis G. Kevrekidis
2003	C	`conf`	Time-steppers and coarse-grained control of microscopic distributed processes. ACC Antonios Armaou, Constantinos I. Siettos, Ioannis G. Kevrekidis
2001	J	`jnl`	The Oseberg Transition: Visualization of Global bifurcations for the Kuramoto-Sivashinsky equation. Int. J. Bifurc. Chaos Mark E. Johnson, Michael S. Jolly, Ioannis G. Kevrekidis
1997	J	`jnl`	Two-dimensional invariant manifolds and global bifurcations: some approximation and visualization studies. Numer. Algorithms Mark E. Johnson, Michael S. Jolly, Ioannis G. Kevrekidis
1997	J	`jnl`	Unsteady Two-Dimensional Flows in Complex Geometries: Comparative Bifurcation Studies with Global Eigenfunction Expansions. SIAM J. Sci. Comput. Anil K. Bangia, Paul F. Batcho, Ioannis G. Kevrekidis, George E. Karniadakis
1993	—	`conf`	Continuous time modeling of nonlinear systems: a neural network-based approach. ICNN Ramiro Rico-Martínez, Ioannis G. Kevrekidis
1993	—	`conf`	Identification of Continuous-Time Dynamical Systems: Neural Network Based Algorithms and Parallel Implementation. PPSC Robert M. Farber, Alan S. Lapedes, Ramiro Rico-Martínez, Ioannis G. Kevrekidis
1993	—	`conf`	Noninvertibility in neural networks. ICNN Ramiro Rico-Martínez, Ioannis G. Kevrekidis, Raymond A. Adomaitis