The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
This article has been cited by the following article(s):
Sense, Think, Act, Reflect: Distilling Fast and Interpretable Decision Functions from LLM-Driven Crowds
Yichi Zhang, Philipp Andelfinger, Wen Jun Tan and Wentong Cai ACM Transactions on Modeling and Computer Simulation (2026) https://doi.org/10.1145/3818686
Active search for bifurcations
Yorgos M. Psarellis, Themistoklis P. Sapsis and Ioannis G. Kevrekidis Chaos: An Interdisciplinary Journal of Nonlinear Science 35(5) (2025) https://doi.org/10.1063/5.0226625
Data-driven stochastic closure modeling via conditional diffusion model and neural operator
Task-oriented machine learning surrogates for tipping points of agent-based models
Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Cristina P. Martin-Linares, Constantinos Siettos and Ioannis G. Kevrekidis Nature Communications 15(1) (2024) https://doi.org/10.1038/s41467-024-48024-7
Nonlinear Model Reduction for Slow–Fast Stochastic Systems Near Unknown Invariant Manifolds
Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Alexei Makeev and Ioannis G. Kevrekidis Chaos: An Interdisciplinary Journal of Nonlinear Science 34(6) (2024) https://doi.org/10.1063/5.0187511
Machine learning for the identification of phase transitions in interacting agent-based systems: A Desai-Zwanzig example
Nikolaos Evangelou, Dimitris G. Giovanis, George A. Kevrekidis, Grigorios A. Pavliotis and Ioannis G. Kevrekidis Physical Review E 110(1) (2024) https://doi.org/10.1103/PhysRevE.110.014121
Learning stochastic dynamics with statistics-informed neural network
Learning effective SDEs from Brownian dynamic simulations of colloidal particles
Nikolaos Evangelou, Felix Dietrich, Juan M. Bello-Rivas, Alex J. Yeh, Rachel S. Hendley, Michael A. Bevan and Ioannis G. Kevrekidis Molecular Systems Design & Engineering 8(7) 887 (2023) https://doi.org/10.1039/D2ME00086E
Data-driven control of agent-based models: An Equation/Variable-free machine learning approach
Dimitrios G. Patsatzis, Lucia Russo, Ioannis G. Kevrekidis and Constantinos Siettos Journal of Computational Physics 478 111953 (2023) https://doi.org/10.1016/j.jcp.2023.111953
Extracting stochastic governing laws by non-local Kramers–Moyal formulae
Yubin Lu, Yang Li and Jinqiao Duan Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380(2229) (2022) https://doi.org/10.1098/rsta.2021.0195
Learning the temporal evolution of multivariate densities via normalizing flows
Yubin Lu, Romit Maulik, Ting Gao, Felix Dietrich, Ioannis G. Kevrekidis and Jinqiao Duan Chaos: An Interdisciplinary Journal of Nonlinear Science 32(3) (2022) https://doi.org/10.1063/5.0065093
Data-driven model reduction of agent-based systems using the Koopman generator
Global and local reduced models for interacting, heterogeneous agents
Thomas N. Thiem, Felix P. Kemeth, Tom Bertalan, Carlo R. Laing and Ioannis G. Kevrekidis Chaos: An Interdisciplinary Journal of Nonlinear Science 31(7) (2021) https://doi.org/10.1063/5.0055840
Linking Machine Learning with Multiscale Numerics: Data-Driven Discovery of Homogenized Equations