Rajendran, Karthikeyan;Tsoumanis, Andreas C.;Siettos, Constantinos I.;Laing, Carlo R.;Kevrekidis, Ioannis G.
MODELING HETEROGENEITY IN NETWORKS USING POLYNOMIAL CHAOS
International Journal for Multiscale Computational Engineering
2016
14
3
291-302

Holiday, A.;Kevrekidis, I.G.
Equation-free analysis of a dynamically evolving multigraph
The European Physical Journal Special Topics
2016
225
6-7
1281-1292

Choi, M.;Bertalan, T.;Laing, C.R.;Kevrekidis, I.G.
Dimension reduction in heterogeneous neural networks: Generalized Polynomial Chaos (gPC) and ANalysis-Of-VAriance (ANOVA)
The European Physical Journal Special Topics
2016
225
6-7
1165-1180

Ben-Tal, A.;Kevrekidis, I. G.
Coarse-Graining and Simplification of the Dynamics Seen in Bursting Neurons
SIAM Journal on Applied Dynamical Systems
2016
15
2
1193-1226

Kemeth, Felix P.;Haugland, Sindre W.;Schmidt, Lennart;Kevrekidis, Ioannis G.;Krischer, Katharina
A classification scheme for chimera states
Chaos: An Interdisciplinary Journal of Nonlinear Science
2016
26
9
094815

Junge, Oliver;Kevrekidis, Ioannis G.
On the sighting of unicorns: A variational approach to computing invariant sets in dynamical systems
Chaos: An Interdisciplinary Journal of Nonlinear Science
2017
27
6
063102

Chiavazzo, Eliodoro;Covino, Roberto;Coifman, Ronald R.;Gear, C. William;Georgiou, Anastasia S.;Hummer, Gerhard;Kevrekidis, Ioannis G.
Intrinsic map dynamics exploration for uncharted effective free-energy landscapes
Proceedings of the National Academy of Sciences
2017
114
28
E5494-E5503

Kattis, Assimakis A;Holiday, Alexander;Stoica, Ana-Andreea;Kevrekidis, Ioannis G
Modeling epidemics on adaptively evolving networks: A data-mining perspective
Virulence
2016
7
2
153-162

Mitsos, Alexander;Najman, Jaromił;Kevrekidis, Ioannis G.
Correction to: Optimal deterministic algorithm generation
Journal of Global Optimization
2018
73
2
465-465

Kemeth, Felix P.;Haugland, Sindre W.;Dietrich, Felix;Bertalan, Tom;Hohlein, Kevin;Li, Qianxiao;Bollt, Erik M.;Talmon, Ronen;Krischer, Katharina;Kevrekidis, Ioannis G.
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning
IEEE Access
2018
6
77402-77413