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ORCIDIoannis G. Kevrekidis
Yannis G. Kevrekidis
Person information
- affiliation: Johns Hopkins University, Chemical and Biomolecular Engineering, Baltimore, MD, USA
- affiliation: Princeton University, Department of Chemical Engineering
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2020 – today
- 2024
[j89]Eleni D. Koronaki
, Nikolaos Evangelou, Cristina P. Martin-Linares, Edriss S. Titi, Ioannis G. Kevrekidis:
Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era. J. Comput. Phys. 506: 112910 (2024)- [j88]Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis:
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. SIAM J. Sci. Comput. 46(2): 719- (2024) - [j87]Antonio Russo, Miguel A. Durán-Olivencia, Ioannis G. Kevrekidis, Serafim Kalliadasis:
Machine Learning Memory Kernels as Closure for Non-Markovian Stochastic Processes. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6531-6543 (2024) - [i69]Dimitris G. Giovanis, Dimitrios Loukrezis, Ioannis G. Kevrekidis, Michael D. Shields:
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification. CoRR abs/2401.16683 (2024) - [i68]Hector Vargas Alvarez, Gianluca Fabiani, Ioannis G. Kevrekidis, Nikolaos Kazantzis, Constantinos I. Siettos:
Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks. CoRR abs/2402.12360 (2024) - [i67]Eleni D. Koronaki, Luise F. Kaven, Johannes M. M. Faust, Ioannis G. Kevrekidis, Alexander Mitsos:
Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy. CoRR abs/2403.08376 (2024) - [i66]Paris Papavasileiou, Dimitrios G. Giovanis, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Ioannis G. Kevrekidis, Andreas G. Boudouvis, Stéphane P. A. Bordas, Eleni D. Koronaki:
Integrating supervised and unsupervised learning approaches to unveil critical process inputs. CoRR abs/2405.07751 (2024) - 2023
- [j86]Saurabh Malani, Tom S. Bertalan, Tianqi Cui, Jose L. Avalos, Michael Betenbaugh, Ioannis G. Kevrekidis:
Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information. Comput. Chem. Eng. 178: 108343 (2023) - [j85]Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis:
From partial data to out-of-sample parameter and observation estimation with diffusion maps and geometric harmonics. Comput. Chem. Eng. 178: 108357 (2023) - [j84]Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos:
Data-driven control of agent-based models: An Equation/Variable-free machine learning approach. J. Comput. Phys. 478: 111953 (2023) - [j83]Nikolaos Evangelou, Felix Dietrich, Eliodoro Chiavazzo, Daniel Lehmberg, Marina Meila, Ioannis G. Kevrekidis:
Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space. J. Comput. Phys. 485: 112072 (2023) - [j82]Hector Vargas Alvarez, Gianluca Fabiani, Nikolaos Kazantzis, Constantinos I. Siettos, Ioannis G. Kevrekidis:
Discrete-time nonlinear feedback linearization via physics-informed machine learning. J. Comput. Phys. 492: 112408 (2023) - [j81]Ellis R. Crabtree, Juan M. Bello-Rivas, Andrew L. Ferguson, Ioannis G. Kevrekidis:
GANs and Closures: Micro-Macro Consistency in Multiscale Modeling. Multiscale Model. Simul. 21(3): 1122-1146 (2023) - [j80]Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis:
Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8271-8283 (2023) - [c18]Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Yannis G. Kevrekidis, Mahyar Fazlyab:
Certified Invertibility in Neural Networks via Mixed-Integer Programming. L4DC 2023: 483-496 - [i65]Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis:
From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics. CoRR abs/2301.11728 (2023) - [i64]Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Ioannis G. Kevrekidis, Mahyar Fazlyab:
Certified Invertibility in Neural Networks via Mixed-Integer Programming. CoRR abs/2301.11783 (2023) - [i63]Cristina P. Martin-Linares, Yorgos M. Psarellis, Georgios Karapetsas, Eleni D. Koronaki, Ioannis G. Kevrekidis:
Physics-agnostic and Physics-infused machine learning for thin films flows: modeling, and predictions from small data. CoRR abs/2301.12508 (2023) - [i62]Zehong Zhang, Fei Lu, Esther Xu Fei, Terry Lyons, Yannis G. Kevrekidis, Tom Woolf:
Benchmarking optimality of time series classification methods in distinguishing diffusions. CoRR abs/2301.13112 (2023) - [i61]Anthony J. Roberts, Thien Tran-Duc, Judith E. Bunder, Yannis G. Kevrekidis:
Accurate and efficient multiscale simulation of a heterogeneous elastic beam via computation on small sparse patches. CoRR abs/2301.13145 (2023) - [i60]Juan M. Bello-Rivas, Anastasia S. Georgiou, Hannes Vandecasteele, Ioannis G. Kevrekidis:
Gentlest ascent dynamics on manifolds defined by adaptively sampled point-clouds. CoRR abs/2302.04426 (2023) - [i59]Jennifer Sleeman, David Chung, Chace Ashcraft, Jay Brett, Anand Gnanadesikan, Yannis G. Kevrekidis, Marisa Hughes, Thomas W. N. Haine, Marie-Aude Pradal, Renske Gelderloos, Caroline Tang, Anshu Saksena, Larry White:
Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points. CoRR abs/2302.06852 (2023) - [i58]William T. Redman, Juan M. Bello-Rivas, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic:
On Equivalent Optimization of Machine Learning Methods. CoRR abs/2302.09160 (2023) - [i57]Jennifer Sleeman, David Chung, Anand Gnanadesikan, Jay Brett, Yannis G. Kevrekidis, Marisa Hughes, Thomas W. N. Haine, Marie-Aude Pradal, Renske Gelderloos, Chace Ashcraft, Caroline Tang, Anshu Saksena, Larry White:
A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN). CoRR abs/2302.10274 (2023) - [i56]Hector Vargas Alvarez, Gianluca Fabiani, Nikolaos Kazantzis, Constantinos I. Siettos, Ioannis G. Kevrekidis:
Discrete-Time Nonlinear Feedback Linearization via Physics-Informed Machine Learning. CoRR abs/2303.08884 (2023) - [i55]Aiqing Zhu, Tom Bertalan, Beibei Zhu, Yifa Tang, Ioannis G. Kevrekidis:
Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets. CoRR abs/2303.17824 (2023) - [i54]Saurabh Malani, Tom S. Bertalan, Tianqi Cui, Jose L. Avalos, Michael Betenbaugh, Ioannis G. Kevrekidis:
Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information. CoRR abs/2304.14214 (2023) - [i53]Matthew O. Williams, Yorgos M. Psarellis, D. Pozharskiy, C. Chong, F. Li, J. Yang, Panayotis G. Kevrekidis, Ioannis G. Kevrekidis:
Equation-Free Computations as DDDAS Protocols for Bifurcation Studies: A Granular Chain Example. CoRR abs/2305.02404 (2023) - [i52]Tianqi Cui, Tom S. Bertalan, Nelson Ndahiro, Pratik Khare, Michael Betenbaugh, Costas Maranas, Ioannis G. Kevrekidis:
Data-driven and Physics Informed Modelling of Chinese Hamster Ovary Cell Bioreactors. CoRR abs/2305.03257 (2023) - [i51]Aaron Mahler, Tyrus Berry, Tom Stephens, Harbir Antil, Michael Merritt, Jeanie Schreiber, Ioannis G. Kevrekidis:
On-Manifold Projected Gradient Descent. CoRR abs/2308.12279 (2023) - [i50]Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Cristina P. Martin-Linares, Constantinos I. Siettos, Ioannis G. Kevrekidis:
Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points. CoRR abs/2309.14334 (2023) - [i49]Eleni D. Koronaki, Nikolaos Evangelou, Cristina P. Martin-Linares, Edriss S. Titi, Ioannis G. Kevrekidis:
Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era. CoRR abs/2310.15816 (2023) - [i48]Nikolaos Evangelou, Dimitrios G. Giovanis, George A. Kevrekidis, Grigorios A. Pavliotis, Ioannis G. Kevrekidis:
Machine Learning for the identification of phase-transitions in interacting agent-based systems. CoRR abs/2310.19039 (2023) - [i47]Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Alexei Makeev, Ioannis G. Kevrekidis:
Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling. CoRR abs/2311.00797 (2023) - [i46]Ellis R. Crabtree, Juan M. Bello-Rivas, Ioannis G. Kevrekidis:
Micro-Macro Consistency in Multiscale Modeling: Score-Based Model Assisted Sampling of Fast/Slow Dynamical Systems. CoRR abs/2312.05715 (2023) - [i45]Erez Peterfreund, Iryna Burak, Ofir Lindenbaum, Jim Gimlett, Felix Dietrich, Ronald R. Coifman, Ioannis G. Kevrekidis:
Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity. CoRR abs/2312.13155 (2023) - [i44]Mario De Florio, Ioannis G. Kevrekidis, George Em Karniadakis:
AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression. CoRR abs/2312.14237 (2023) - 2022
- [j79]Evangelos Galaris, Gianluca Fabiani, Ioannis Gallos, Ioannis G. Kevrekidis, Constantinos I. Siettos:
Numerical Bifurcation Analysis of PDEs From Lattice Boltzmann Model Simulations: a Parsimonious Machine Learning Approach. J. Sci. Comput. 92(2): 34 (2022) - [j78]Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li:
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators. SIAM J. Sci. Comput. 44(4): 1911- (2022) - [j77]John Maclean, J. E. Bunder, Ioannis G. Kevrekidis, Anthony J. Roberts:
Adaptively Detect and Accurately Resolve Macro-scale Shocks in an Efficient Equation-Free Multiscale Simulation. SIAM J. Sci. Comput. 44(4): 2557- (2022) - [j76]Felix Dietrich, Or Yair, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis:
Spectral Discovery of Jointly Smooth Features for Multimodal Data. SIAM J. Math. Data Sci. 4(1): 410-430 (2022) - [c17]William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic:
Algorithmic (Semi-)Conjugacy via Koopman Operator Theory. CDC 2022: 6006-6011 - [c16]William T. Redman, Maria Fonoberova, Ryan Mohr, Yannis G. Kevrekidis, Igor Mezic:
An Operator Theoretic View On Pruning Deep Neural Networks. ICLR 2022 - [i43]Evangelos Galaris, Gianluca Fabiani, Ioannis Gallos, Ioannis G. Kevrekidis, Constantinos I. Siettos:
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach. CoRR abs/2201.13323 (2022) - [i42]Juan M. Bello-Rivas, Anastasia S. Georgiou, John Guckenheimer, Ioannis G. Kevrekidis:
Staying the course: Locating equilibria of dynamical systems on Riemannian manifolds defined by point-clouds. CoRR abs/2204.10413 (2022) - [i41]Nikolaos Evangelou, Felix Dietrich, Eliodoro Chiavazzo, Daniel Lehmberg, Marina Meila, Ioannis G. Kevrekidis:
Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space. CoRR abs/2204.12536 (2022) - [i40]Nikolaos Evangelou, Felix Dietrich, Juan M. Bello-Rivas, Alex Yeh, Rachel Stein, Michael A. Bevan, Ioannis G. Kevrekidis:
Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles. CoRR abs/2205.00286 (2022) - [i39]Seungjoon Lee, Yorgos M. Psarellis, Constantinos I. Siettos, Ioannis G. Kevrekidis:
Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data. CoRR abs/2205.13545 (2022) - [i38]Felix P. Kemeth, Sergio Alonso, Blas Echebarria, Ted Moldenhawer, Carsten Beta, Ioannis G. Kevrekidis:
Black and Gray Box Learning of Amplitude Equations: Application to Phase Field Systems. CoRR abs/2207.03954 (2022) - [i37]Qingci An, Yannis G. Kevrekidis, Fei Lu, Mauro Maggioni:
Unsupervised learning of observation functions in state-space models by nonparametric moment methods. CoRR abs/2207.05242 (2022) - [i36]Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis, Constantinos I. Siettos:
Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach. CoRR abs/2207.05779 (2022) - [i35]J. Divahar, Anthony J. Roberts, Trent W. Mattner, Judith E. Bunder, Ioannis G. Kevrekidis:
Staggered grids for multidimensional multiscale modelling. CoRR abs/2207.12623 (2022) - [i34]Ellis R. Crabtree, Juan M. Bello-Rivas, Andrew L. Ferguson, Ioannis G. Kevrekidis:
GANs and Closures: Micro-Macro Consistency in Multiscale Modeling. CoRR abs/2208.10715 (2022) - [i33]Yorgos M. Psarellis, Michail E. Kavousanakis, Michael A. Henson, Ioannis G. Kevrekidis:
Limits of Entrainment of Circadian Neuronal Networks. CoRR abs/2208.11119 (2022) - [i32]William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic:
Algorithmic (Semi-)Conjugacy via Koopman Operator Theory. CoRR abs/2209.06374 (2022) - [i31]J. Divahar, Anthony J. Roberts, Trent W. Mattner, Judith E. Bunder, Ioannis G. Kevrekidis:
Two novel families of multiscale staggered patch schemes efficiently simulate large-scale, weakly damped, linear waves. CoRR abs/2210.15823 (2022) - [i30]Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis:
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. CoRR abs/2211.12386 (2022) - 2021
- [j75]P. Subramanian, Ioannis G. Kevrekidis, P. G. Kevrekidis:
Exploring critical points of energy landscapes: From low-dimensional examples to phase field crystal PDEs. Commun. Nonlinear Sci. Numer. Simul. 96: 105679 (2021) - [j74]J. E. Bunder, Ioannis G. Kevrekidis, Anthony J. Roberts:
Equation-free patch scheme for efficient computational homogenisation via self-adjoint coupling. Numerische Mathematik 149(2): 229-272 (2021) - [c15]Ryan Mohr, Maria Fonoberova, Iva Manojlovic, Aleksandr Andrejcuk, Zlatko Drmac, Yannis G. Kevrekidis, Igor Mezic:
Applications of Koopman Mode Analysis to Neural Networks. AAAI Spring Symposium: MLPS 2021 - [c14]Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis G. Kevrekidis:
Coarse-grained and Emergent Distributed Parameter Systems from Data. ACC 2021: 4063-4068 - [i29]Yu-Chia Chen, Marina Meila, Ioannis G. Kevrekidis:
Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data. CoRR abs/2103.07626 (2021) - [i28]Felix P. Kemeth, Tom Bertalan, Nikolaos Evangelou, Tianqi Cui, Saurabh Malani, Ioannis G. Kevrekidis:
Initializing LSTM internal states via manifold learning. CoRR abs/2104.13101 (2021) - [i27]Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li:
Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators. CoRR abs/2105.01303 (2021) - [i26]Felix Dietrich, Alexei Makeev, George Kevrekidis, Nikolaos Evangelou, Tom Bertalan, Sebastian Reich, Ioannis G. Kevrekidis:
Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning. CoRR abs/2106.09004 (2021) - [i25]Yubin Lu, Romit Maulik, Ting Gao, Felix Dietrich, Ioannis G. Kevrekidis, Jinqiao Duan:
Learning the temporal evolution of multivariate densities via normalizing flows. CoRR abs/2107.13735 (2021) - [i24]John Maclean, J. E. Bunder, Ioannis G. Kevrekidis, Anthony J. Roberts:
Adaptively detect and accurately resolve macro-scale shocks in an efficient Equation-Free multiscale simulation. CoRR abs/2108.11568 (2021) - [i23]Felix Dietrich, Juan M. Bello-Rivas, Ioannis G. Kevrekidis:
On the Correspondence between Gaussian Processes and Geometric Harmonics. CoRR abs/2110.02296 (2021) - [i22]Nikolaos Evangelou, Noah J. Wichrowski, George A. Kevrekidis, Felix Dietrich, Mahdi Kooshkbaghi, Sarah McFann, Ioannis G. Kevrekidis:
On the Parameter Combinations That Matter and on Those That do Not. CoRR abs/2110.06717 (2021) - [i21]William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic:
An Operator Theoretic Perspective on Pruning Deep Neural Networks. CoRR abs/2110.14856 (2021) - 2020
- [j73]Thomas N. Thiem, Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, Ioannis G. Kevrekidis:
Emergent Spaces for Coupled Oscillators. Frontiers Comput. Neurosci. 14: 36 (2020) - [j72]Caroline Moosmüller, Felix Dietrich, Ioannis G. Kevrekidis:
A Geometric Approach to the Transport of Discontinuous Densities. SIAM/ASA J. Uncertain. Quantification 8(3): 1012-1035 (2020) - [j71]Simon L. Cotter, Ioannis G. Kevrekidis, Paul T. Russell:
Transport Map Accelerated Adaptive Importance Sampling, and Application to Inverse Problems Arising from Multiscale Stochastic Reaction Networks. SIAM/ASA J. Uncertain. Quantification 8(4): 1383-1413 (2020) - [j70]Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis:
On the Koopman Operator of Algorithms. SIAM J. Appl. Dyn. Syst. 19(2): 860-885 (2020) - [i20]Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis:
Spectral Discovery of Jointly Smooth Features for Multimodal Data. CoRR abs/2004.04386 (2020) - [i19]Thomas N. Thiem, Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, Ioannis G. Kevrekidis:
Emergent spaces for coupled oscillators. CoRR abs/2004.06053 (2020) - [i18]Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman:
LOCA: LOcal Conformal Autoencoder for standardized data coordinates. CoRR abs/2004.07234 (2020) - [i17]Iva Manojlovic, Maria Fonoberova, Ryan Mohr, Aleksandr Andrejcuk, Zlatko Drmac, Yannis G. Kevrekidis, Igor Mezic:
Applications of Koopman Mode Analysis to Neural Networks. CoRR abs/2006.11765 (2020) - [i16]Tom Bertalan, Felix Dietrich, Ioannis G. Kevrekidis:
Transformations between deep neural networks. CoRR abs/2007.05646 (2020) - [i15]Hassan Arbabi, Judith E. Bunder, Giovanni Samaey, Anthony J. Roberts, Ioannis G. Kevrekidis:
Linking Machine Learning with Multiscale Numerics: Data-Driven Discovery of Homogenized Equations. CoRR abs/2008.11276 (2020) - [i14]Hassan Arbabi, Ioannis G. Kevrekidis:
Particles to Partial Differential Equations Parsimoniously. CoRR abs/2011.04517 (2020) - [i13]Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis G. Kevrekidis:
Coarse-grained and emergent distributed parameter systems from data. CoRR abs/2011.08138 (2020) - [i12]Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis:
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks. CoRR abs/2012.03133 (2020) - [i11]Felix P. Kemeth, Tom Bertalan, Thomas N. Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis:
Learning emergent PDEs in a learned emergent space. CoRR abs/2012.12738 (2020)
2010 – 2019
- 2019
- [j69]Logan R. Matthews, Chrysanthos E. Gounaris, Ioannis G. Kevrekidis:
Designing networks with resiliency to edge failures using two-stage robust optimization. Eur. J. Oper. Res. 279(3): 704-720 (2019) - [j68]Alexander Holiday, Mahdi Kooshkbaghi, Juan M. Bello-Rivas, C. William Gear, Antonios Zagaris, Ioannis G. Kevrekidis:
Manifold learning for parameter reduction. J. Comput. Phys. 392: 419-431 (2019) - [j67]Alexander Mitsos, Jaromil Najman, Ioannis G. Kevrekidis:
Correction to: Optimal deterministic algorithm generation. J. Glob. Optim. 73(2): 465 (2019) - [i10]Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis:
Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation. CoRR abs/1906.00616 (2019) - [i9]Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis:
On the Koopman operator of algorithms. CoRR abs/1907.10807 (2019) - [i8]Seungjoon Lee, Mahdi Kooshkbaghi, Konstantinos G. Spiliotis, Constantinos I. Siettos, Ioannis G. Kevrekidis:
Coarse-scale PDEs from fine-scale observations via machine learning. CoRR abs/1909.05707 (2019) - [i7]J. E. Bunder, J. Divahar, Ioannis G. Kevrekidis, Trent W. Mattner, Anthony J. Roberts:
Large-scale simulation of shallow water waves with computation only on small staggered patches. CoRR abs/1912.07815 (2019) - 2018
- [j66]Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis:
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. IEEE Access 6: 77402-77413 (2018) - [j65]Alexander Mitsos, Jaromil Najman, Ioannis G. Kevrekidis:
Optimal deterministic algorithm generation. J. Glob. Optim. 71(4): 891-913 (2018) - [j64]Stefan Klus, Feliks Nüske, Péter Koltai, Hao Wu, Ioannis G. Kevrekidis, Christof Schütte, Frank Noé:
Data-Driven Model Reduction and Transfer Operator Approximation. J. Nonlinear Sci. 28(3): 985-1010 (2018) - [j63]Erik M. Bollt, Qianxiao Li, Felix Dietrich, Ioannis G. Kevrekidis:
On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions. SIAM J. Appl. Dyn. Syst. 17(2): 1925-1960 (2018) - [i6]Seungjoon Lee, Felix Dietrich, George E. Karniadakis, Ioannis G. Kevrekidis:
Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion. CoRR abs/1812.06467 (2018) - 2017
- [j62]Anastasia S. Georgiou, Juan M. Bello-Rivas, Charles William Gear, Hau-Tieng Wu, Eliodoro Chiavazzo, Ioannis G. Kevrekidis:
An Exploration Algorithm for Stochastic Simulators Driven by Energy Gradients. Entropy 19(7): 294 (2017) - [j61]Tom Bertalan, Yan Wu, Carlo R. Laing, C. William Gear, Ioannis G. Kevrekidis:
Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural Heterogeneities. Frontiers Comput. Neurosci. 11: 43 (2017) - [j60]J. E. Bunder, Anthony J. Roberts, Ioannis G. Kevrekidis:
Good coupling for the multiscale patch scheme on systems with microscale heterogeneity. J. Comput. Phys. 337: 154-174 (2017) - [j59]Seungjoon Lee, Ioannis G. Kevrekidis, George E. Karniadakis:
A resilient and efficient CFD framework: Statistical learning tools for multi-fidelity and heterogeneous information fusion. J. Comput. Phys. 344: 516-533 (2017) - [j58]Seungjoon Lee, Ioannis G. Kevrekidis, George E. Karniadakis:
A general CFD framework for fault-resilient simulations based on multi-resolution information fusion. J. Comput. Phys. 347: 290-304 (2017) - [j57]Paul Villoutreix, Joakim Andén, Bomyi Lim, Hang Lu, Ioannis G. Kevrekidis, Amit Singer, Stanislav Y. Shvartsman:
Synthesizing developmental trajectories. PLoS Comput. Biol. 13(9) (2017) - 2016
- [j56]Chrysanthos E. Gounaris, Karthikeyan Rajendran, Ioannis G. Kevrekidis, Christodoulos A. Floudas:
Designing networks: A mixed-integer linear optimization approach. Networks 68(4): 283-301 (2016) - [j55]Aharon Ben-Tal, Ioannis G. Kevrekidis:
Coarse-Graining and Simplification of the Dynamics Seen in Bursting Neurons. SIAM J. Appl. Dyn. Syst. 15(2): 1193-1226 (2016) - [j54]Carmeline J. Dsilva, Ronen Talmon, C. William Gear, Ronald R. Coifman, Ioannis G. Kevrekidis:
Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems. SIAM J. Appl. Dyn. Syst. 15(3): 1327-1351 (2016) - [j53]J. E. Bunder, Anthony J. Roberts, Ioannis G. Kevrekidis:
Accuracy of Patch Dynamics with Mesoscale Temporal Coupling for Efficient Massively Parallel Simulations. SIAM J. Sci. Comput. 38(4) (2016) - [i5]Karthikeyan Rajendran, Assimakis A. Kattis, Alexander Holiday, Risi Kondor, Ioannis G. Kevrekidis:
Data mining when each data point is a network. CoRR abs/1612.02908 (2016) - [i4]Or Yair, Ronen Talmon, Ronald R. Coifman, Ioannis G. Kevrekidis:
No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries. CoRR abs/1612.03195 (2016) - 2015
- [j52]Carlo R. Laing, Ioannis G. Kevrekidis:
Equation-free analysis of spike-timing-dependent plasticity. Biol. Cybern. 109(6): 701-714 (2015) - [j51]Matthew O. Williams, Ioannis G. Kevrekidis, Clarence W. Rowley:
A Data-Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition. J. Nonlinear Sci. 25(6): 1307-1346 (2015) - [i3]Chrysanthos E. Gounaris, Karthikeyan Rajendran, Ioannis G. Kevrekidis, Christodoulos A. Floudas:
Designing Networks: A Mixed-Integer Linear Optimization Approach. CoRR abs/1502.00362 (2015) - 2014
- [j50]Alexei Makeev, Ioannis G. Kevrekidis:
A hybrid stochastic-deterministic algorithm for lattice-gas models of catalytic reactions and the computation of TPD spectra. Comput. Chem. Eng. 60: 172-181 (2014) - [j49]Arta A. Jamshidi, C. William Gear, Ioannis G. Kevrekidis:
Time varying radial basis functions. J. Comput. Appl. Math. 266: 61-72 (2014) - 2013
- [j48]Yuzhen Xue, Pete J. Ludovice, Martha A. Grover, Lilia V. Nedialkova, Carmeline J. Dsilva, Ioannis G. Kevrekidis:
State reduction in molecular simulations. Comput. Chem. Eng. 51: 102-110 (2013) - [j47]Benjamin Sonday, Amit Singer, Ioannis G. Kevrekidis:
Noisy dynamic simulations in the presence of symmetry: Data alignment and model reduction. Comput. Math. Appl. 65(10): 1535-1557 (2013) - [j46]Paul M. Torrens, Ioannis G. Kevrekidis, Roger G. Ghanem, Yu Zou:
Simple Urban Simulation Atop Complicated Models: Multi-Scale Equation-Free Computing of Sprawl Using Geographic Automata. Entropy 15(7): 2606-2634 (2013) - [j45]Xingye Kan, Jinqiao Duan, Ioannis G. Kevrekidis, Anthony J. Roberts:
Simulating Stochastic Inertial Manifolds by a Backward-Forward Approach. SIAM J. Appl. Dyn. Syst. 12(1): 487-514 (2013) - [i2]Karthikeyan Rajendran, Ioannis G. Kevrekidis:
Analysis of data in the form of graphs. CoRR abs/1306.3524 (2013) - 2012
- [j44]Yu Zou, Paul M. Torrens, Roger G. Ghanem, Ioannis G. Kevrekidis:
Accelerating agent-based computation of complex urban systems. Int. J. Geogr. Inf. Sci. 26(10): 1917-1937 (2012) - [c13]Mona Bavarian, Masoud Soroush, Ioannis G. Kevrekidis, Jay B. Benziger:
Mathematical modeling and steady-state analysis of a co-ionic-conducting solid oxide fuel cell. ACC 2012: 4269-4274 - [i1]Katherine A. Bold, Karthikeyan Rajendran, Balázs Ráth, Ioannis G. Kevrekidis:
An equation-free approach to coarse-graining the dynamics of networks. CoRR abs/1202.5618 (2012) - 2011
- [j43]Christophe Vandekerckhove, Benjamin Sonday, Alexei Makeev, Dirk Roose, Ioannis G. Kevrekidis:
A common approach to the computation of coarse-scale steady states and to consistent initialization on a slow manifold. Comput. Chem. Eng. 35(10): 1949-1958 (2011) - [j42]Chrysanthos E. Gounaris, Karthikeyan Rajendran, Ioannis G. Kevrekidis, Christodoulos A. Floudas:
Generation of networks with prescribed degree-dependent clustering. Optim. Lett. 5(3): 435-451 (2011) - [j41]Zvi Artstein, C. William Gear, Ioannis G. Kevrekidis, Marshall Slemrod, Edriss S. Titi:
Analysis and Computation of a Discrete KdV-Burgers Type Equation with Fast Dispersion and Slow Diffusion. SIAM J. Numer. Anal. 49(5): 2124-2143 (2011) - 2010
- [j40]Thomas M. Wasylenko, Jaime Cisternas, Carlo R. Laing, Ioannis G. Kevrekidis:
Bifurcations of lurching waves in a thalamic neuronal network. Biol. Cybern. 103(6): 447-462 (2010) - [j39]Andreas C. Tsoumanis, Constantinos I. Siettos, George V. Bafas, Ioannis G. Kevrekidis:
Equation-Free Multiscale Computations in Social Networks: from Agent-Based Modeling to Coarse-Grained Stability and bifurcation Analysis. Int. J. Bifurc. Chaos 20(11): 3673-3688 (2010) - [j38]Carlo R. Laing, Thomas Frewen, Ioannis G. Kevrekidis:
Reduced models for binocular rivalry. J. Comput. Neurosci. 28(3): 459-476 (2010) - [j37]Yu Zou, Michail E. Kavousanakis, Ioannis G. Kevrekidis, Rodney O. Fox:
Coarse-grained computation for particle coagulation and sintering processes by linking Quadrature Method of Moments with Monte-Carlo. J. Comput. Phys. 229(14): 5299-5314 (2010) - [j36]Yannis G. Kevrekidis, Giovanni Samaey:
Equation-free modeling. Scholarpedia 5(9): 4847 (2010)
2000 – 2009
- 2009
- [j35]Christophe Vandekerckhove, Ioannis G. Kevrekidis, Dirk Roose:
An Efficient Newton-Krylov Implementation of the Constrained Runs Scheme for Initializing on a Slow Manifold. J. Sci. Comput. 39(2): 167-188 (2009) - [j34]Radek Erban, S. Jonathan Chapman, Ioannis G. Kevrekidis, Tomás Vejchodský:
Analysis of a Stochastic Chemical System Close to a SNIPER Bifurcation of Its Mean-Field Model. SIAM J. Appl. Math. 70(3): 984-1016 (2009) - 2008
- [j33]Yu Zou, Ioannis G. Kevrekidis:
Uncertainty Quantification for Atomistic Reaction Models: An Equation-Free Stochastic Simulation Algorithm Example. Multiscale Model. Simul. 6(4): 1217-1233 (2008) - [j32]Dror Givon, Ioannis G. Kevrekidis:
Multiscale Integration Schemes for Jump-Diffusion Systems. Multiscale Model. Simul. 7(2): 495-516 (2008) - [j31]Ronald R. Coifman, Ioannis G. Kevrekidis, Stéphane Lafon, Mauro Maggioni, Boaz Nadler:
Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems. Multiscale Model. Simul. 7(2): 842-864 (2008) - 2007
- [j30]Raymond A. Adomaitis, Ioannis G. Kevrekidis, Rafael de la Llave:
A Computer-Assisted Study of Global Dynamic Transitions for a Noninvertible System. Int. J. Bifurc. Chaos 17(4): 1305-1321 (2007) - [j29]Michail E. Kavousanakis, Radek Erban, Andreas G. Boudouvis, C. William Gear, Ioannis G. Kevrekidis:
Projective and coarse projective integration for problems with continuous symmetries. J. Comput. Phys. 225(1): 382-407 (2007) - [j28]Sunil Ahuja, Ioannis G. Kevrekidis, Clarence W. Rowley:
Template-Based Stabilization of Relative Equilibria in Systems with Continuous Symmetry. J. Nonlinear Sci. 17(2): 109-143 (2007) - [j27]Anastasia Papavasiliou, Ioannis G. Kevrekidis:
Variance Reduction for the Equation-Free Simulation of Multiscale Stochastic Systems. Multiscale Model. Simul. 6(1): 70-89 (2007) - [j26]Liang Qiao, Robert B. Nachbar, Ioannis G. Kevrekidis, Stanislav Y. Shvartsman:
Bistability and Oscillations in the Huang-Ferrell Model of MAPK Signaling. PLoS Comput. Biol. 3(9) (2007) - [j25]K. I. Dickson, C. T. Kelley, Ilse C. F. Ipsen, Ioannis G. Kevrekidis:
Condition Estimates for Pseudo-Arclength Continuation. SIAM J. Numer. Anal. 45(1): 263-276 (2007) - [j24]Ju Li, Panayotis G. Kevrekidis, C. William Gear, Ioannis G. Kevrekidis:
Deciding the Nature of the Coarse Equation through Microscopic Simulations: The Baby-Bathwater Scheme. SIAM Rev. 49(3): 469-487 (2007) - [j23]Anthony J. Roberts, Ioannis G. Kevrekidis:
General Tooth Boundary Conditions for Equation Free Modeling. SIAM J. Sci. Comput. 29(4): 1495-1510 (2007) - 2006
- [j22]Constantinos I. Siettos, Ramiro Rico-Martínez, Ioannis G. Kevrekidis:
A systems-based approach to multiscale computation: Equation-free detection of coarse-grained bifurcations. Comput. Chem. Eng. 30(10-12): 1632-1642 (2006) - [j21]Constantinos I. Siettos, Ioannis G. Kevrekidis, Nikolaos Kazantzis:
An equation-Free Approach to Nonlinear Control: Coarse Feedback Linearization with Pole-Placement. Int. J. Bifurc. Chaos 16(7): 2029-2041 (2006) - [j20]Sung Joon Moon, Ioannis G. Kevrekidis:
An equation-Free Approach to Coupled oscillator Dynamics: the Kuramoto Model Example. Int. J. Bifurc. Chaos 16(7): 2043-2052 (2006) - [j19]Giovanni Samaey, Ioannis G. Kevrekidis, Dirk Roose:
Patch dynamics with buffers for homogenization problems. J. Comput. Phys. 213(1): 264-287 (2006) - [j18]Dwight Barkley, Ioannis G. Kevrekidis, Andrew M. Stuart:
The Moment Map: Nonlinear Dynamics of Density Evolution via a Few Moments. SIAM J. Appl. Dyn. Syst. 5(3): 403-434 (2006) - [c12]Sunil Ahuja, Ioannis G. Kevrekidis, Clarence W. Rowley:
Template-based stabilization of relative equilibria. ACC 2006: 1-6 - 2005
- [j17]Antonios Armaou, Ioannis G. Kevrekidis, Constantinos Theodoropoulos:
Equation-free gaptooth-based controller design for distributed complex/multiscale processes. Comput. Chem. Eng. 29(4): 731-740 (2005) - [j16]Dongbin Xiu, Ioannis G. Kevrekidis, Roger G. Ghanem:
An equation-free, multiscale approach to uncertainty quantification. Comput. Sci. Eng. 7(3): 16-23 (2005) - [j15]Joakim Möller, Olof Runborg, Panayotis G. Kevrekidis, Kurt Lust, Ioannis G. Kevrekidis:
Equation-Free, Effective Computation for Discrete Systems: a Time stepper Based Approach. Int. J. Bifurc. Chaos 15(3): 975-996 (2005) - [j14]C. William Gear, Ioannis G. Kevrekidis:
Constraint-Defined Manifolds: a Legacy Code Approach to Low-Dimensional Computation. J. Sci. Comput. 25(1-2): 17-28 (2005) - [j13]Giovanni Samaey, Dirk Roose, Ioannis G. Kevrekidis:
The Gap-Tooth Scheme for Homogenization Problems. Multiscale Model. Simul. 4(1): 278-306 (2005) - [j12]S. Setayeshgar, C. William Gear, Hans G. Othmer, Ioannis G. Kevrekidis:
Application of Coarse Integration to Bacterial Chemotaxis. Multiscale Model. Simul. 4(1): 307-327 (2005) - [j11]Dongbin Xiu, Ioannis G. Kevrekidis:
Equation-Free, Multiscale Computation for Unsteady Random Diffusion. Multiscale Model. Simul. 4(3): 915-935 (2005) - [j10]C. William Gear, Tasso J. Kaper, Ioannis G. Kevrekidis, Antonios Zagaris:
Projecting to a Slow Manifold: Singularly Perturbed Systems and Legacy Codes. SIAM J. Appl. Dyn. Syst. 4(3): 711-732 (2005) - [c11]Ethan A. Mastny, James B. Rawlings, Yannis G. Kevrekidis:
Model-based control methodologies for catalytic surface reactions. ACC 2005: 2534-2539 - [c10]Constantinos I. Siettos, Ioannis G. Kevrekidis, Nikolaos Kazantzis:
Equation-free, coarse-grained feedback linearization. ACC 2005: 2554-2558 - [c9]Boaz Nadler, Stéphane Lafon, Ronald R. Coifman, Ioannis G. Kevrekidis:
Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators. NIPS 2005: 955-962 - 2004
- [j9]Antonio A. Alonso, Ioannis G. Kevrekidis, Julio R. Banga, Christos E. Frouzakis:
Optimal sensor location and reduced order observer design for distributed process systems. Comput. Chem. Eng. 28(1-2): 27-35 (2004) - [j8]J. Krishnan, Olof Runborg, Ioannis G. Kevrekidis:
Bifurcation analysis of nonlinear reaction-diffusion problems using wavelet-based reduction techniques. Comput. Chem. Eng. 28(4): 557-574 (2004) - [j7]Constantinos I. Siettos, Ioannis G. Kevrekidis, Dimitrios Maroudas:
Coarse bifurcation Diagrams via Microscopic Simulators: a State-Feedback Control-Based Approach. Int. J. Bifurc. Chaos 14(1): 207-220 (2004) - [c8]Antonios Armaou, Ioannis G. Kevrekidis, Constantinos Theodoropoulos:
The gaptooth scheme, patch dynamics and equation-free controller design for distributed complex/multiscale processes. ACC 2004: 926-932 - 2003
- [j6]E. D. Koronaki, Andreas G. Boudouvis, Ioannis G. Kevrekidis:
Enabling stability analysis of tubular reactor models using PDE/PDAE integrators. Comput. Chem. Eng. 27(7): 951-964 (2003) - [j5]Ju Li, Panayotis G. Kevrekidis, C. William Gear, Ioannis G. Kevrekidis:
Deciding the Nature of the Coarse Equation through Microscopic Simulations: The Baby-Bathwater Scheme. Multiscale Model. Simul. 1(3): 391-407 (2003) - [j4]C. William Gear, Ioannis G. Kevrekidis:
Projective Methods for Stiff Differential Equations: Problems with Gaps in Their Eigenvalue Spectrum. SIAM J. Sci. Comput. 24(4): 1091-1106 (2003) - [c7]Antonios Armaou, Constantinos I. Siettos, Ioannis G. Kevrekidis:
Time-steppers and coarse-grained control of microscopic distributed processes. ACC 2003: 1328-1334 - [c6]Stevan Dubljevic, Panagiotis D. Christofides, Ioannis G. Kevrekidis:
Distributed nonlinear control of diffusion-reaction processes. ACC 2003: 1341-1348 - [c5]Yongchun Zhang, Michael A. Henson, Yannis G. Kevrekidis:
Nonlinear order reduction of discretized cell population models. ACC 2003: 2383-2388 - [c4]Antonios Armaou, Ioannis G. Kevrekidis:
Optimal switching policies using coarse timesteppers. CDC 2003: 5508-5513 - 2001
- [j3]Mark E. Johnson, Michael S. Jolly, Ioannis G. Kevrekidis:
The Oseberg Transition: Visualization of Global bifurcations for the Kuramoto-Sivashinsky equation. Int. J. Bifurc. Chaos 11(1): 1-18 (2001)
1990 – 1999
- 1997
- [j2]Mark E. Johnson, Michael S. Jolly, Ioannis G. Kevrekidis:
Two-dimensional invariant manifolds and global bifurcations: some approximation and visualization studies. Numer. Algorithms 14(1-3): 125-140 (1997) - [j1]Anil K. Bangia, Paul F. Batcho, Ioannis G. Kevrekidis, George E. Karniadakis:
Unsteady Two-Dimensional Flows in Complex Geometries: Comparative Bifurcation Studies with Global Eigenfunction Expansions. SIAM J. Sci. Comput. 18(3): 775-805 (1997) - 1993
- [c3]Ramiro Rico-Martínez, Ioannis G. Kevrekidis, Raymond A. Adomaitis:
Noninvertibility in neural networks. ICNN 1993: 382-386 - [c2]Ramiro Rico-Martínez, Ioannis G. Kevrekidis:
Continuous time modeling of nonlinear systems: a neural network-based approach. ICNN 1993: 1522-1525 - [c1]Robert M. Farber, Alan S. Lapedes, Ramiro Rico-Martínez, Ioannis G. Kevrekidis:
Identification of Continuous-Time Dynamical Systems: Neural Network Based Algorithms and Parallel Implementation. PPSC 1993: 287-291
Coauthor Index
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