J. Nathan Kutz

According to our database1, J. Nathan Kutz authored at least 106 papers between 1996 and 2021.

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Bibliography

2021
DeepGreen: Deep Learning of Green's Functions for Nonlinear Boundary Value Problems.
CoRR, 2021

2020
Sparse Principal Component Analysis via Variable Projection.
SIAM J. Appl. Math., 2020

Time-Delay Observables for Koopman: Theory and Applications.
SIAM J. Appl. Dyn. Syst., 2020

Centering Data Improves the Dynamic Mode Decomposition.
SIAM J. Appl. Dyn. Syst., 2020

PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data.
J. Open Source Softw., 2020

Discovery of Physics From Data: Universal Laws and Discrepancies.
Frontiers Artif. Intell., 2020

Dynamic mode decomposition for forecasting and analysis of power grid load data.
CoRR, 2020

Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data.
CoRR, 2020

Bracketing brackets with bras and kets.
CoRR, 2020

Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning.
CoRR, 2020

Hierarchical Deep Learning of Multiscale Differential Equation Time-Steppers.
CoRR, 2020

Physics-informed machine learning for sensor fault detection with flight test data.
CoRR, 2020

Sparse Identification of Slow Timescale Dynamics.
CoRR, 2020

Principal Component Trajectories (PCT): Nonlinear dynamics as a superposition of time-delayed periodic orbits.
CoRR, 2020

SINDy-BVP: Sparse Identification of Nonlinear Dynamics for Boundary Value Problems.
CoRR, 2020

Multiresolution Convolutional Autoencoders.
CoRR, 2020

SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics.
CoRR, 2020

From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction.
CoRR, 2020

A Unified Sparse Optimization Framework to Learn Parsimonious Physics-Informed Models From Data.
IEEE Access, 2020

Numerical Differentiation of Noisy Data: A Unifying Multi-Objective Optimization Framework.
IEEE Access, 2020

2019
Data-Driven Identification of Parametric Partial Differential Equations.
SIAM J. Appl. Dyn. Syst., 2019

Randomized Dynamic Mode Decomposition.
SIAM J. Appl. Dyn. Syst., 2019

Discovery of Nonlinear Multiscale Systems: Sampling Strategies and Embeddings.
SIAM J. Appl. Dyn. Syst., 2019

Putting a bug in ML: The moth olfactory network learns to read MNIST.
Neural Networks, 2019

Sex-related differences in intrinsic brain dynamism and their neurocognitive correlates.
NeuroImage, 2019

Optimized Sampling for Multiscale Dynamics.
Multiscale Model. Simul., 2019

Compressed dynamic mode decomposition for background modeling.
J. Real Time Image Process., 2019

Deep learning of dynamics and signal-noise decomposition with time-stepping constraints.
J. Comput. Phys., 2019

Smoothing and parameter estimation by soft-adherence to governing equations.
J. Comput. Phys., 2019

Slow-gamma frequencies are optimally guarded against effects of neurodegenerative diseases and traumatic brain injuries.
J. Comput. Neurosci., 2019

Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition.
Frontiers Comput. Neurosci., 2019

Deep Learning Models for Global Coordinate Transformations that Linearize PDEs.
CoRR, 2019

Learning Discrepancy Models From Experimental Data.
CoRR, 2019

Discovery of Physics from Data: Universal Laws and Discrepancy Models.
CoRR, 2019

Deep Model Predictive Control with Online Learning for Complex Physical Systems.
CoRR, 2019

Data-driven multiscale decompositions for forecasting and model discovery.
CoRR, 2019

Shallow Learning for Fluid Flow Reconstruction with Limited Sensors and Limited Data.
CoRR, 2019

Money on the Table: Statistical information ignored by Softmax can improve classifier accuracy.
CoRR, 2019

Complex Algorithms for Data-Driven Model Learning in Science and Engineering.
Complex., 2019

Engineering structural robustness in power grid networks susceptible to community desynchronization.
Appl. Netw. Sci., 2019

Randomized model order reduction.
Adv. Comput. Math., 2019

A Unified Framework for Sparse Relaxed Regularized Regression: SR3.
IEEE Access, 2019

Shape Constrained Tensor Decompositions.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018
Online Interpolation Point Refinement for Reduced-Order Models using a Genetic Algorithm.
SIAM J. Sci. Comput., 2018

Generalizing Koopman Theory to Allow for Inputs and Control.
SIAM J. Appl. Dyn. Syst., 2018

Variable Projection Methods for an Optimized Dynamic Mode Decomposition.
SIAM J. Appl. Dyn. Syst., 2018

Randomized nonnegative matrix factorization.
Pattern Recognit. Lett., 2018

Sparsity enabled cluster reduced-order models for control.
J. Comput. Phys., 2018

Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, With Applications to Neural Nets.
Frontiers Comput. Neurosci., 2018

Optimal Sensor and Actuator Placement using Balanced Model Reduction.
CoRR, 2018

Insect cyborgs: Biological feature generators improve machine learning accuracy on limited data.
CoRR, 2018

Sparse Relaxed Regularized Regression: SR3.
CoRR, 2018

Sparse Principal Component Analysis via Variable Projection.
CoRR, 2018

Diffusion Maps meet Nyström.
CoRR, 2018

Applied Koopman Theory for Partial Differential Equations and Data-Driven Modeling of Spatio-Temporal Systems.
Complex., 2018

A moth brain learns to read MNIST.
Proceedings of the 6th International Conference on Learning Representations, 2018

Discovering Conservation Laws from Data for Control.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Nonlinear Model Order Reduction via Dynamic Mode Decomposition.
SIAM J. Sci. Comput., 2017

Spatiotemporal Feedback and Network Structure Drive and Encode Caenorhabditis elegans Locomotion.
PLoS Comput. Biol., 2017

Functionality and Robustness of Injured Connectomic Dynamics in C. elegans: Linking Behavioral Deficits to Neural Circuit Damage.
PLoS Comput. Biol., 2017

Reaction time impairments in decision-making networks as a diagnostic marker for traumatic brain injuries and neurological diseases.
J. Comput. Neurosci., 2017

Multistability and Long-Timescale Transients Encoded by Network Structure in a Model of C. elegans Connectome Dynamics.
Frontiers Comput. Neurosci., 2017

Deep learning for universal linear embeddings of nonlinear dynamics.
CoRR, 2017

Deep Learning and Model Predictive Control for Self-Tuning Mode-Locked Lasers.
CoRR, 2017

Dynamic mode decomposition for compressive system identification.
CoRR, 2017

Data-Driven Sparse Sensor Placement.
CoRR, 2017

Randomized CP Tensor Decomposition.
CoRR, 2017

Randomized Dynamic Mode Decomposition.
CoRR, 2017

Preventing Neurodegenerative Memory Loss in Hopfield Neuronal Networks Using Cerebral Organoids or External Microelectronics.
Comput. Math. Methods Medicine, 2017

Dynamic Mode Decomposition for Background Modeling.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Compressed Singular Value Decomposition for Image and Video Processing.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Data-Driven discovery of governing physical laws and their parametric dependencies in engineering, physics and biology.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Machine learning and air quality modeling.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

2016
Inferring Biological Networks by Sparse Identification of Nonlinear Dynamics.
IEEE Trans. Mol. Biol. Multi Scale Commun., 2016

Sparse Sensor Placement Optimization for Classification.
SIAM J. Appl. Math., 2016

Dynamic Mode Decomposition with Control.
SIAM J. Appl. Dyn. Syst., 2016

Multiresolution Dynamic Mode Decomposition.
SIAM J. Appl. Dyn. Syst., 2016

Classification of Spatiotemporal Data via Asynchronous Sparse Sampling: Application to Flow around a Cylinder.
Multiscale Model. Simul., 2016

Streaming GPU Singular Value and Dynamic Mode Decompositions.
CoRR, 2016

Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries.
CoRR, 2016

Randomized Matrix Decompositions using R.
CoRR, 2016

Dynamic mode decomposition - data-driven modeling of complex systems.
SIAM, ISBN: 978-1-611-97449-2, 2016

2015
Compressed Dynamic Mode Decomposition for Real-Time Object Detection.
CoRR, 2015

Multi-resolution Dynamic Mode Decomposition for Foreground/Background Separation and Object Tracking.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014
Compressive Sensing and Low-Rank Libraries for Classification of Bifurcation Regimes in Nonlinear Dynamical Systems.
SIAM J. Appl. Dyn. Syst., 2014

A Reaction-Diffusion Model of Cholinergic Retinal Waves.
PLoS Comput. Biol., 2014

Herpes Simplex Virus-2 Genital Tract Shedding Is Not Predictable over Months or Years in Infected Persons.
PLoS Comput. Biol., 2014

Compromised axonal functionality after neurodegeneration, concussion and/or traumatic brain injury.
J. Comput. Neurosci., 2014

Identifying critical regions for spike propagation in axon segments.
J. Comput. Neurosci., 2014

Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe.
Frontiers Comput. Neurosci., 2014

Selecting a Small Set of Optimal Gestures from an Extensive Lexicon.
CoRR, 2014

Dynamic Mode Decomposition for Real-Time Background/Foreground Separation in Video.
CoRR, 2014

2013
Erratum: Hybrid Reduced-Order Integration with Proper Orthogonal Decomposition and Dynamic Mode Decomposition.
Multiscale Model. Simul., 2013

Hybrid Reduced-Order Integration with Proper Orthogonal Decomposition and Dynamic Mode Decomposition.
Multiscale Model. Simul., 2013

Optimal Sensor Placement and Enhanced Sparsity for Classification.
CoRR, 2013

Theoretical studies of frequency domain mode-locked fiber lasers.
Proceedings of the 6th IEEE International Conference on Advanced Infocomm Technology, 2013

2012
Neural Activity Measures and Their Dynamics.
SIAM J. Appl. Math., 2012

The Low Dimensionality of Time-Periodic Standing Waves in Water of Finite and Infinite Depth.
SIAM J. Appl. Dyn. Syst., 2012

2007
Averaged models for passive mode-locking using nonlinear mode-coupling.
Math. Comput. Simul., 2007

SpectrUW: A laboratory for the numerical exploration of spectra of linear operators.
Math. Comput. Simul., 2007

2006
Mode-Locked Soliton Lasers.
SIAM Rev., 2006

Computing spectra of linear operators using the Floquet-Fourier-Hill method.
J. Comput. Phys., 2006

2005
Dynamics of the Optical Parametric Oscillator Near Resonance Detuning.
SIAM J. Appl. Dyn. Syst., 2005

2002
Dynamics and Stability of Bose-Einstein Condensates: The Nonlinear Schrödinger Equation with Periodic Potential.
J. Nonlinear Sci., 2002

1999
Dynamics and Bifurcations of a Planar Map Modeling Dispersion Managed Breathers.
SIAM J. Appl. Math., 1999

1996
Stability of Pulses in Nonlinear Optical Fibers Using Phase-Sensitive Amplifiers.
SIAM J. Appl. Math., 1996


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