Erik M. Bollt - RankMe

89 papers B 1C 4Journal 82Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CausationEntropy: Pythonic Optimal Causation Entropy. CoRR Kevin Slote, Jeremie Fish, Erik M. Bollt
2025	J	`jnl`	Assimilative Causal Inference. CoRR Marios Andreou, Nan Chen, Erik M. Bollt
2025	J	`jnl`	Globally Optimal Stretching Foliations of Dynamical Systems. SIAM J. Appl. Dyn. Syst. Sanjeeva Balasuriya, Erik M. Bollt
2025	J	`jnl`	On the emergence of numerical instabilities in Next Generation Reservoir Computing. CoRR Edmilson Roque dos Santos, Erik M. Bollt
2025	J	`jnl`	The problem of infinite information flow. CoRR Zheng Bian, Erik M. Bollt
2024	J	`jnl`	Data-driven model discovery with Kolmogorov-Arnold networks. CoRR Mohammadamin Moradi, Shirin Panahi, Erik M. Bollt, Ying-Cheng Lai
2024	J	`jnl`	Entropic Regression DMD (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Models. CoRR Christopher W. Curtis, Erik M. Bollt, Daniel Jay Alford-Lago
2024	J	`jnl`	Entropic Regression Dynamic Mode Decomposition (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Models. Int. J. Bifurc. Chaos Christopher W. Curtis, Erik M. Bollt, Daniel Jay Alford-Lago
2024	J	`jnl`	Fractal Conditional Correlation Dimension Infers Complex Causal Networks. CoRR Özge Canli Usta, Erik M. Bollt
2024	J	`jnl`	Fractal Conditional Correlation Dimension Infers Complex Causal Networks. Entropy Özge Canli Usta, Erik M. Bollt
2024	J	`jnl`	Kolmogorov-Arnold Network Autoencoders. CoRR Mohammadamin Moradi, Shirin Panahi, Erik M. Bollt, Ying-Cheng Lai
2024	J	`jnl`	On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. CoRR David W. Sroczynski, Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt, Ioannis G. Kevrekidis
2024	J	`jnl`	Tree-based Learning for High-Fidelity Prediction of Chaos. CoRR Adam Giammarese, Kamal Rana, Erik M. Bollt, Nishant Malik
2023	J	`jnl`	Autoencoding for the 'Good Dictionary' of eigen pairs of the Koopman Operator. CoRR Neranjaka Jayarathne, Erik M. Bollt
2023	J	`jnl`	Machine Learning Enhanced Hankel Dynamic-Mode Decomposition. CoRR Christopher W. Curtis, Daniel Jay Alford-Lago, Erik M. Bollt, Andrew Tuma
2022	J	`jnl`	Data fusion reconstruction of spatially embedded complex networks. J. Complex Networks Jie Sun, Fernando J. Quevedo, Erik M. Bollt
2022	J	`jnl`	Data-driven learning of Boolean networks and functions by optimal causation entropy principle. Patterns Jie Sun, Abd AlRahman R. AlMomani, Erik M. Bollt
2022	J	`jnl`	How fragile is your network? More than you think. CoRR Jeremie Fish, Mahesh Banavar, Erik M. Bollt
2022	J	`jnl`	Interaction networks from discrete event data by Poisson multivariate mutual information estimation and information flow with applications from gene expression data. Appl. Netw. Sci. Jeremie Fish, Jie Sun, Erik M. Bollt
2022	J	`jnl`	Learning Transfer Operators by Kernel Density Estimation. CoRR Sudam Surasinghe, Jeremie Fish, Erik M. Bollt
2022	J	`jnl`	Melnikov Theory for Two-Dimensional Manifolds in Three-Dimensional Flows. SIAM J. Appl. Dyn. Syst. K. G. D. Sulalitha Priyankara, Sanjeeva Balasuriya, Erik M. Bollt
2022	J	`jnl`	Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling. CoRR Yonggi Park, Kelum Gajamannage, Dilhani I. Jayathilake, Erik M. Bollt
2021	J	`jnl`	Geometric considerations of a good dictionary for Koopman analysis of dynamical systems: Cardinality, "primary eigenfunction, " and efficient representation. Commun. Nonlinear Sci. Numer. Simul. Erik M. Bollt
2021	J	`jnl`	Next Generation Reservoir Computing. CoRR Daniel J. Gauthier, Erik M. Bollt, Aaron Griffith, Wendson A. S. Barbosa
2021	J	`jnl`	Randomized Projection Learning Method forDynamic Mode Decomposition. CoRR Sudam Surasinghe, Erik M. Bollt
2020	J	`jnl`	An Early Warning Sign of Critical Transition in The Antarctic Ice Sheet. A New Data Driven Tool for Spatiotemporal Tipping Point. CoRR Abd AlRahman R. AlMomani, Erik M. Bollt
2020	J	`jnl`	Data-Driven Learning of Boolean Networks and Functions by Optimal Causation Entropy Principle (BoCSE). CoRR Jie Sun, Abd AlRahman R. AlMomani, Erik M. Bollt
2020	J	`jnl`	ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System Identification of Underlying Dynamic Equations. CoRR Abd AlRahman R. AlMomani, Erik M. Bollt
2020	J	`jnl`	Go With the Flow, on Jupiter and Snow. Coherence from Model-Free Video Data Without Trajectories. J. Nonlinear Sci. Abd AlRahman R. AlMomani, Erik M. Bollt
2020	J	`jnl`	Informative Ranking of Stand Out Collections of Symptoms: A New Data-Driven Approach to Identify the Strong Warning Signs of COVID 19. CoRR Abd AlRahman R. AlMomani, Erik M. Bollt
2020	J	`jnl`	Intralayer Synchronization in Evolving Multiplex Hypernetworks: Analytical Approach. SIAM J. Appl. Dyn. Syst. Sarbendu Rakshit, Bidesh K. Bera, Erik M. Bollt, Dibakar Ghosh
2020	J	`jnl`	On Geometry of Information Flow for Causal Inference. CoRR Sudam Surasinghe, Erik M. Bollt
2020	J	`jnl`	On Geometry of Information Flow for Causal Inference. Entropy Sudam Surasinghe, Erik M. Bollt
2019	J	`jnl`	A nonlinear dimensionality reduction framework using smooth geodesics. Pattern Recognit. Kelum Gajamannage, Randy C. Paffenroth, Erik M. Bollt
2019	J	`jnl`	An information-theoretic, all-scales approach to comparing networks. Appl. Netw. Sci. James P. Bagrow, Erik M. Bollt
2019	J	`jnl`	Geometric Considerations of a Good Dictionary for Koopman Analysis of Dynamical Systems. CoRR Erik M. Bollt
2019	J	`jnl`	How Entropic Regression Beats the Outliers Problem in Nonlinear System Identification. CoRR Abd AlRahman R. AlMomani, Jie Sun, Erik M. Bollt
2018	J	`jnl`	An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. IEEE Access Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis
2018	J	`jnl`	An information-theoretic, all-scales approach to comparing networks. CoRR James P. Bagrow, Erik M. Bollt
2018	J	`jnl`	On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions. SIAM J. Appl. Dyn. Syst. Erik M. Bollt, Qianxiao Li, Felix Dietrich, Ioannis G. Kevrekidis
2018	J	`jnl`	The Anatomy of Leadership in Collective Behaviour. CoRR Joshua Garland, Andrew M. Berdahl, Jie Sun, Erik M. Bollt
2017	J	`jnl`	A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics. CoRR Kelum Gajamannage, Randy C. Paffenroth, Erik M. Bollt
2017	J	`jnl`	Geometric k-nearest neighbor estimation of entropy and mutual information. CoRR Warren M. Lord, Jie Sun, Erik M. Bollt
2017	J	`jnl`	Quantifying the Role of Folding in Nonautonomous Flows: The Unsteady Double-Gyre. Int. J. Bifurc. Chaos K. G. D. Sulalitha Priyankara, Sanjeeva Balasuriya, Erik M. Bollt
2016	J	`jnl`	Inference of Causal Information Flow in Collective Animal Behavior. CoRR Warren M. Lord, Jie Sun, Nicholas T. Ouellette, Erik M. Bollt
2016	J	`jnl`	Inference of Causal Information Flow in Collective Animal Behavior. IEEE Trans. Mol. Biol. Multi Scale Commun. Warren M. Lord, Jie Sun, Nicholas T. Ouellette, Erik M. Bollt
2016	J	`jnl`	Modeling the lowest-cost splitting of a herd of cows by optimizing a cost function. CoRR Kelum Gajamannage, Erik M. Bollt, Mason A. Porter, Marian S. Dawkins
2016	J	`jnl`	Statistical Inverse Formulation of Optical Flow with Uncertainty Quantification. CoRR Jie Sun, Erik M. Bollt
2015	J	`jnl`	A Low-Dimensional Principal Manifold as the "Attractor Backbone" of a Chaotic Beam System. Int. J. Bifurc. Chaos Erik M. Bollt, Joseph D. Skufca
2015	J	`jnl`	Causal Network Inference by Optimal Causation Entropy. SIAM J. Appl. Dyn. Syst. Jie Sun, Dane Taylor, Erik M. Bollt
2015	J	`jnl`	Detecting phase transitions in collective behavior using manifold's curvature. CoRR Kelum Gajamannage, Erik M. Bollt
2015	J	`jnl`	Dimensionality Reduction of Collective Motion by Principal Manifolds. CoRR Kelum Gajamannage, Sachit Butail, Maurizio Porfiri, Erik M. Bollt
2015	J	`jnl`	Identifying manifolds underlying group motion in Vicsek agents. CoRR Kelum Gajamannage, Sachit Butail, Maurizio Porfiri, Erik M. Bollt
2015	J	`jnl`	Shape Coherence and Finite-Time Curvature Evolution. Int. J. Bifurc. Chaos Tian Ma, Erik M. Bollt
2014	J	`jnl`	Causal Network Inference by Optimal Causation Entropy. CoRR Jie Sun, Dane Taylor, Erik M. Bollt
2014	J	`jnl`	Differential Geometry Perspective of Shape Coherence and Curvature Evolution by Finite-Time Nonhyperbolic Splitting. SIAM J. Appl. Dyn. Syst. Tian Ma, Erik M. Bollt
2014	J	`jnl`	Editorial Comment on the Special Issue of "Information in Dynamical Systems and Complex Systems". Entropy Erik M. Bollt, Jie Sun
2014	J	`jnl`	Erratum: Differential Geometry Perspective of Shape Coherence and Curvature Evolution by Finite-Time Nonhyperbolic Splitting. SIAM J. Appl. Dyn. Syst. Tian Ma, Erik M. Bollt
2014	J	`jnl`	Identifying Coupling Structure in Complex Systems through the Optimal Causation Entropy Principle. CoRR Jie Sun, Carlo Cafaro, Erik M. Bollt
2014	J	`jnl`	Identifying the Coupling Structure in Complex Systems through the Optimal Causation Entropy Principle. Entropy Jie Sun, Carlo Cafaro, Erik M. Bollt
2013	—	`book`	Applied and Computational Measurable Dynamics. Erik M. Bollt, Naratip Santitissadeekorn
2013	J	`jnl`	Relatively Coherent Sets as a Hierarchical Partition Method. Int. J. Bifurc. Chaos Tian Ma, Erik M. Bollt
2013	J	`jnl`	The Bundle Plot: Evolution of Symbolic Space under the System parameter Changes. Int. J. Bifurc. Chaos Jiongxuan Zheng, Joseph D. Skufca, Erik M. Bollt
2012	J	`jnl`	Measurable Dynamics Analysis of Transport in the Gulf of Mexico during the Oil Spill. Int. J. Bifurc. Chaos Erik M. Bollt, Aaron Luttman, Sean Kramer, Ranil Basnayake
2012	J	`jnl`	Synchronization as a Process of Sharing and Transferring Information. Int. J. Bifurc. Chaos Erik M. Bollt
2010	B	`conf`	Eigenposes: Using principal components to describe body configuration for analysis of postural control dynamics. IJCNN Joseph D. Skufca, Erik M. Bollt, Rakesh Pilkar, Charles J. Robinson
2009	J	`jnl`	A Quiet Standing Index for Testing the Postural Sway of Healthy and Diabetic Adults Across a Range of Ages. IEEE Trans. Biomed. Eng. Robert J. Schilling, Erik M. Bollt, George D. Fulk, Joseph D. Skufca, Ahmad F. Al-Ajlouni, Charles J. Robinson
2009	J	`jnl`	Analysis and Modeling of an Experimental Device by Finite-Time Lyapunov Exponent Method. Int. J. Bifurc. Chaos Naratip Santitissadeekorn, Douglas Bohl, Erik M. Bollt
2009	J	`jnl`	Constructing Generalized Synchronization Manifolds by Manifold Equation. SIAM J. Appl. Dyn. Syst. Jie Sun, Erik M. Bollt, Takashi Nishikawa
2009	J	`jnl`	Graduated adaptive image denoising: local compromise between total variation and isotropic diffusion. Adv. Comput. Math. Erik M. Bollt, Rick Chartrand, Selim Esedoglu, Pete Schultz, Kevin R. Vixie
2009	J	`jnl`	Image Edge Respecting Denoising with Edge Denoising by a Designer Nonisotropic Structure Tensor Method. Comput. Methods Appl. Math. Naratip Santitissadeekorn, Erik M. Bollt
2009	—	`conf`	Synchronization Stability of Coupled Near-Identical Oscillator Network. Complex (1) Jie Sun, Erik M. Bollt, Takashi Nishikawa
2008	J	`jnl`	Basis Markov Partitions and Transition Matrices for Stochastic Systems. SIAM J. Appl. Dyn. Syst. Erik M. Bollt, Pawel Góra, Andrzej Ostruszka, Karol Zyczkowski
2008	J	`jnl`	Synchronization in Random Weighted Directed Networks. IEEE Trans. Circuits Syst. I Regul. Pap. Maurizio Porfiri, Daniel J. Stilwell, Erik M. Bollt
2007	J	`jnl`	Attractor Modeling and Empirical Nonlinear Model Reduction of dissipative Dynamical Systems. Int. J. Bifurc. Chaos Erik M. Bollt
2007	C	`conf`	Stochastic synchronization over a moving neighborhood network. ACC Maurizio Porfiri, Daniel J. Stilwell, Erik M. Bollt, Joseph D. Skufca
2007	C	`conf`	Stochastic synchronization over weighted directed networks. ACC Maurizio Porfiri, Daniel J. Stilwell, Erik M. Bollt
2006	J	`jnl`	A Fast and Accurate Nonlinear Spectral Method for Image Recognition and Registration CoRR Luciano da Fontoura Costa, Erik M. Bollt
2006	J	`jnl`	Active Aeroelastic Control of Lifting Surfaces via Jet Reaction Limiter Control. Int. J. Bifurc. Chaos Christina Rubillo, Piergiovanni Marzocca, Erik M. Bollt
2006	J	`jnl`	Sufficient Conditions for Fast Switching Synchronization in Time-Varying Network Topologies. SIAM J. Appl. Dyn. Syst. Daniel J. Stilwell, Erik M. Bollt, D. Gray Roberson
2006	C	`conf`	Synchronization of time-varying networks under fast switching. ACC Daniel J. Stilwell, Erik M. Bollt, D. Gray Roberson
2005	J	`jnl`	The Path towards a Longer Life: on Invariant Sets and the Escape Time Landscape. Int. J. Bifurc. Chaos Erik M. Bollt
2004	J	`jnl`	One-Dimensional Continuous-Time Quantum Walks. Quantum Inf. Process. Daniel ben-Avraham, Erik M. Bollt, Christino Tamon
2003	J	`jnl`	Review of Chaos Communication by Feedback Control of Symbolic Dynamics. Int. J. Bifurc. Chaos Erik M. Bollt
2002	J	`jnl`	A New and Simple Chaos Toy. Int. J. Bifurc. Chaos Erik M. Bollt, Aaron Klebanoff
2001	J	`jnl`	Combinatorial Control of Global Dynamics in a Chaotic differential equation. Int. J. Bifurc. Chaos Erik M. Bollt
2000	J	`jnl`	Controlling Chaos and the Inverse Frobenius-Perron Problem: Global stabilization of Arbitrary Invariant Measures. Int. J. Bifurc. Chaos Erik M. Bollt
2000	C	`conf`	Controlling invariant density: an l ISCAS Erik M. Bollt
2000	J	`jnl`	Model Selection, confidence and Scaling in Predicting Chaotic Time-Series. Int. J. Bifurc. Chaos Erik M. Bollt