Erik M. Bollt

Orcid: 0000-0001-7083-7592

According to our database1, Erik M. Bollt authored at least 70 papers between 2000 and 2024.

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Bibliography

2024
Tree-based Learning for High-Fidelity Prediction of Chaos.
CoRR, 2024

2023
Autoencoding for the 'Good Dictionary' of eigen pairs of the Koopman Operator.
CoRR, 2023

2022
Melnikov Theory for Two-Dimensional Manifolds in Three-Dimensional Flows.
SIAM J. Appl. Dyn. Syst., December, 2022

Data fusion reconstruction of spatially embedded complex networks.
J. Complex Networks, June, 2022

Data-driven learning of Boolean networks and functions by optimal causation entropy principle.
Patterns, 2022

Learning Transfer Operators by Kernel Density Estimation.
CoRR, 2022

How fragile is your network? More than you think.
CoRR, 2022

Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling.
CoRR, 2022

Interaction networks from discrete event data by Poisson multivariate mutual information estimation and information flow with applications from gene expression data.
Appl. Netw. Sci., 2022

2021
Randomized Projection Learning Method forDynamic Mode Decomposition.
CoRR, 2021

Next Generation Reservoir Computing.
CoRR, 2021

Geometric considerations of a good dictionary for Koopman analysis of dynamical systems: Cardinality, "primary eigenfunction, " and efficient representation.
Commun. Nonlinear Sci. Numer. Simul., 2021

2020
Intralayer Synchronization in Evolving Multiplex Hypernetworks: Analytical Approach.
SIAM J. Appl. Dyn. Syst., 2020

Go With the Flow, on Jupiter and Snow. Coherence from Model-Free Video Data Without Trajectories.
J. Nonlinear Sci., 2020

On Geometry of Information Flow for Causal Inference.
Entropy, 2020

ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System Identification of Underlying Dynamic Equations.
CoRR, 2020

Data-Driven Learning of Boolean Networks and Functions by Optimal Causation Entropy Principle (BoCSE).
CoRR, 2020

An Early Warning Sign of Critical Transition in The Antarctic Ice Sheet. A New Data Driven Tool for Spatiotemporal Tipping Point.
CoRR, 2020

Informative Ranking of Stand Out Collections of Symptoms: A New Data-Driven Approach to Identify the Strong Warning Signs of COVID 19.
CoRR, 2020

2019
A nonlinear dimensionality reduction framework using smooth geodesics.
Pattern Recognit., 2019

Geometric Considerations of a Good Dictionary for Koopman Analysis of Dynamical Systems.
CoRR, 2019

How Entropic Regression Beats the Outliers Problem in Nonlinear System Identification.
CoRR, 2019

An information-theoretic, all-scales approach to comparing networks.
Appl. Netw. Sci., 2019

2018
On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions.
SIAM J. Appl. Dyn. Syst., 2018

The Anatomy of Leadership in Collective Behaviour.
CoRR, 2018

An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning.
IEEE Access, 2018

2017
Quantifying the Role of Folding in Nonautonomous Flows: The Unsteady Double-Gyre.
Int. J. Bifurc. Chaos, 2017

Geometric k-nearest neighbor estimation of entropy and mutual information.
CoRR, 2017

2016
Inference of Causal Information Flow in Collective Animal Behavior.
IEEE Trans. Mol. Biol. Multi Scale Commun., 2016

Modeling the lowest-cost splitting of a herd of cows by optimizing a cost function.
CoRR, 2016

Statistical Inverse Formulation of Optical Flow with Uncertainty Quantification.
CoRR, 2016

2015
Causal Network Inference by Optimal Causation Entropy.
SIAM J. Appl. Dyn. Syst., 2015

Shape Coherence and Finite-Time Curvature Evolution.
Int. J. Bifurc. Chaos, 2015

A Low-Dimensional Principal Manifold as the "Attractor Backbone" of a Chaotic Beam System.
Int. J. Bifurc. Chaos, 2015

Detecting phase transitions in collective behavior using manifold's curvature.
CoRR, 2015

Dimensionality Reduction of Collective Motion by Principal Manifolds.
CoRR, 2015

Identifying manifolds underlying group motion in Vicsek agents.
CoRR, 2015

2014
Erratum: Differential Geometry Perspective of Shape Coherence and Curvature Evolution by Finite-Time Nonhyperbolic Splitting.
SIAM J. Appl. Dyn. Syst., 2014

Differential Geometry Perspective of Shape Coherence and Curvature Evolution by Finite-Time Nonhyperbolic Splitting.
SIAM J. Appl. Dyn. Syst., 2014

Editorial Comment on the Special Issue of "Information in Dynamical Systems and Complex Systems".
Entropy, 2014

Identifying the Coupling Structure in Complex Systems through the Optimal Causation Entropy Principle.
Entropy, 2014

2013
The Bundle Plot: Evolution of Symbolic Space under the System parameter Changes.
Int. J. Bifurc. Chaos, 2013

Relatively Coherent Sets as a Hierarchical Partition Method.
Int. J. Bifurc. Chaos, 2013

Applied and Computational Measurable Dynamics.
Mathematical modeling and computation 18, SIAM, ISBN: 978-1-61197-263-4, 2013

2012
Measurable Dynamics Analysis of Transport in the Gulf of Mexico during the Oil Spill.
Int. J. Bifurc. Chaos, 2012

Synchronization as a Process of Sharing and Transferring Information.
Int. J. Bifurc. Chaos, 2012

2010
Eigenposes: Using principal components to describe body configuration for analysis of postural control dynamics.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
A Quiet Standing Index for Testing the Postural Sway of Healthy and Diabetic Adults Across a Range of Ages.
IEEE Trans. Biomed. Eng., 2009

Constructing Generalized Synchronization Manifolds by Manifold Equation.
SIAM J. Appl. Dyn. Syst., 2009

Analysis and Modeling of an Experimental Device by Finite-Time Lyapunov Exponent Method.
Int. J. Bifurc. Chaos, 2009

Image Edge Respecting Denoising with Edge Denoising by a Designer Nonisotropic Structure Tensor Method.
Comput. Methods Appl. Math., 2009

Graduated adaptive image denoising: local compromise between total variation and isotropic diffusion.
Adv. Comput. Math., 2009

Synchronization Stability of Coupled Near-Identical Oscillator Network.
Proceedings of the Complex Sciences, 2009

2008
Synchronization in Random Weighted Directed Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Basis Markov Partitions and Transition Matrices for Stochastic Systems.
SIAM J. Appl. Dyn. Syst., 2008

2007
Attractor Modeling and Empirical Nonlinear Model Reduction of dissipative Dynamical Systems.
Int. J. Bifurc. Chaos, 2007

Stochastic synchronization over a moving neighborhood network.
Proceedings of the American Control Conference, 2007

Stochastic synchronization over weighted directed networks.
Proceedings of the American Control Conference, 2007

2006
Sufficient Conditions for Fast Switching Synchronization in Time-Varying Network Topologies.
SIAM J. Appl. Dyn. Syst., 2006

Active Aeroelastic Control of Lifting Surfaces via Jet Reaction Limiter Control.
Int. J. Bifurc. Chaos, 2006

A Fast and Accurate Nonlinear Spectral Method for Image Recognition and Registration
CoRR, 2006

Synchronization of time-varying networks under fast switching.
Proceedings of the American Control Conference, 2006

2005
The Path towards a Longer Life: on Invariant Sets and the Escape Time Landscape.
Int. J. Bifurc. Chaos, 2005

2004
One-Dimensional Continuous-Time Quantum Walks.
Quantum Inf. Process., 2004

2003
Review of Chaos Communication by Feedback Control of Symbolic Dynamics.
Int. J. Bifurc. Chaos, 2003

2002
A New and Simple Chaos Toy.
Int. J. Bifurc. Chaos, 2002

2001
Combinatorial Control of Global Dynamics in a Chaotic differential equation.
Int. J. Bifurc. Chaos, 2001

2000
Model Selection, confidence and Scaling in Predicting Chaotic Time-Series.
Int. J. Bifurc. Chaos, 2000

Controlling Chaos and the Inverse Frobenius-Perron Problem: Global stabilization of Arbitrary Invariant Measures.
Int. J. Bifurc. Chaos, 2000

Controlling invariant density: an l<sup>∞</sup> solution to the inverse Frobenius-Perron problem.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000


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