Sparse identification of nonlinear dynamics for rapid model recovery

Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics

(2018) Christoph Wehmeyer et al.   JOURNAL OF CHEMICAL PHYSICS

Constrained sparse Galerkin regression

(2018) Jean-Christophe Loiseau et al.   JOURNAL OF FLUID MECHANICS

VAMPnets for deep learning of molecular kinetics

(2018) Andreas Mardt et al.   Nature Communications

Exact Recovery of Chaotic Systems from Highly Corrupted Data

(2017) Giang Tran et al.   MULTISCALE MODELING & SIMULATION

Synchronization control of oscillator networks using symbolic regression

(2017) Julien Gout et al.   NONLINEAR DYNAMICS

Model selection for dynamical systems via sparse regression and information criteria

(2017) N. M. Mangan et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Learning partial differential equations via data discovery and sparse optimization

(2017) Hayden Schaeffer   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Chaos as an intermittently forced linear system

(2017) Steven L. Brunton et al.   Nature Communications

Data-driven discovery of partial differential equations

(2017) Samuel H. Rudy et al.   Science Advances

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

(2016) Steven L. Brunton et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Automatic identification of wind turbine models using evolutionary multiobjective optimization

(2016) William La Cava et al.   RENEWABLE ENERGY

Closed-Loop Turbulence Control: Progress and Challenges

(2015) Steven L. Brunton et al.   Applied Mechanics Reviews

Gradient-based adaptation of continuous dynamic model structures

(2015) William G. La Cava et al.   INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

Compressive Sensing and Low-Rank Libraries for Classification of Bifurcation Regimes in Nonlinear Dynamical Systems

(2014) Steven L. Brunton et al.   SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS

Machine learning for neuroimaging with scikit-learn

(2014) Alexandre Abraham et al.   Frontiers in Neuroinformatics

Molecular Mechanisms of Fear Learning and Memory

(2011) Joshua P. Johansen et al.   CELL

Regression shrinkage and selection via the lasso: a retrospective

(2011) Robert Tibshirani   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing

(2011) Wen-Xu Wang et al.   PHYSICAL REVIEW LETTERS

Dynamic mode decomposition of numerical and experimental data

(2010) PETER J. SCHMID   JOURNAL OF FLUID MECHANICS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Spectral analysis of nonlinear flows

(2009) CLARENCE W. ROWLEY et al.   JOURNAL OF FLUID MECHANICS

Distilling Free-Form Natural Laws from Experimental Data

(2009) Michael Schmidt et al.   SCIENCE