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Scientific Reports|November 25, 2025
Tree-based learning for high-fidelity prediction of chaosAdam Giammarese, Kamal Rana, Erik M Bollt, et al.
Chaos (Woodbury, N.Y.)|August 3, 2018
Anatomy of leadership in collective behaviourJoshua Garland, Andrew M Berdahl, Jie Sun, et al.
Chaos (Woodbury, N.Y.)|May 3, 2015
Causation entropy from symbolic representations of dynamical systemsCarlo Cafaro, Warren M Lord, Jie Sun, et al.
Physical Review. E|March 16, 2022
Stability analysis of intralayer synchronization in time-varying multilayer networks with generic coupling functionsMd Sayeed Anwar, Sarbendu Rakshit, Dibakar Ghosh, et al.
Chaos (Woodbury, N.Y.)|November 3, 2017
Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operatorQianxiao Li, Felix Dietrich, Erik M Bollt, et al.
Chaos (Woodbury, N.Y.)|May 3, 2020
Manifold learning for organizing unstructured sets of process observationsFelix Dietrich, Mahdi Kooshkbaghi, Erik M Bollt, et al.
Chaos (Woodbury, N.Y.)|July 7, 2017
Modeling the lowest-cost splitting of a herd of cows by optimizing a cost functionKelum Gajamannage, Erik M Bollt, Mason A Porter, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 28, 2009
Dynamic computation of network statistics via updating schemaJie Sun, James P Bagrow, Erik M Bollt, et al.
Chaos (Woodbury, N.Y.)|April 5, 2003
Numerical and experimental investigation of the effect of filtering on chaotic symbolic dynamicsLiqiang Zhu, Ying-Cheng Lai, Frank C Hoppensteadt, et al.
Chaos (Woodbury, N.Y.)|October 5, 2013
A framework for estimating potential fluid flow from digital imageryAaron Luttman, Erik M Bollt, Ranil Basnayake, et al.
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