Erik M. Bollt
Orcid: 0000-0001-7083-7592
According to our database1,
Erik M. Bollt
authored at least 74 papers
between 2000 and 2024.
Collaborative distances:
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Bibliography
2024
On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them.
CoRR, 2024
2023
CoRR, 2023
2022
SIAM J. Appl. Dyn. Syst., December, 2022
J. Complex Networks, June, 2022
Data-driven learning of Boolean networks and functions by optimal causation entropy principle.
Patterns, 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
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
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
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
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
Appl. Netw. Sci., 2019
2018
On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions.
SIAM J. Appl. Dyn. Syst., 2018
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning.
IEEE Access, 2018
2017
Int. J. Bifurc. Chaos, 2017
CoRR, 2017
2016
IEEE Trans. Mol. Biol. Multi Scale Commun., 2016
CoRR, 2016
CoRR, 2016
2015
SIAM J. Appl. Dyn. Syst., 2015
A Low-Dimensional Principal Manifold as the "Attractor Backbone" of a Chaotic Beam System.
Int. J. Bifurc. Chaos, 2015
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
Int. J. Bifurc. Chaos, 2013
Int. J. Bifurc. Chaos, 2013
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
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
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
Proceedings of the Complex Sciences, 2009
2008
IEEE Trans. Circuits Syst. I Regul. Pap., 2008
SIAM J. Appl. Dyn. Syst., 2008
2007
Attractor Modeling and Empirical Nonlinear Model Reduction of dissipative Dynamical Systems.
Int. J. Bifurc. Chaos, 2007
Proceedings of the American Control Conference, 2007
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
Int. J. Bifurc. Chaos, 2006
CoRR, 2006
Proceedings of the American Control Conference, 2006
2005
Int. J. Bifurc. Chaos, 2005
2004
2003
Int. J. Bifurc. Chaos, 2003
2002
2001
Int. J. Bifurc. Chaos, 2001
2000
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