On the Convergence of the SINDy Algorithm

Regression shrinkage and selection via the lasso

Robert Tibshirani · 1996

Earlier work this paper cites.

Iterative hard thresholding and ℓ 0 \ell^{0} regularisation

Thomas Blumensath, Mehrdad Yaghoobi, and Mike E. Davies · 2007

Earlier work this paper cites.

Automated reverse engineering of nonlinear dynamical systems

Josh Bongard and Hod Lipson · 2007

Earlier work this paper cites.

Iterative thresholding for sparse approximations

Thomas Blumensath and Mike E. Davies · 2008

Earlier work this paper cites.

Iterative hard thresholding for compressed sensing

Thomas Blumensath and Mike E. Davies · 2009

Earlier work this paper cites.

Distilling free-form natural laws from experimental data

Michael Schmidt and Hod Lipson · 2009

Earlier work this paper cites.

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

Steven L. Brunton, Joshua L. Proctor, and J. Nathan Kutz · 2016

Earlier work this paper cites.

Sparse identification of nonlinear dynamics with control (SINDYc)

Steven L. Brunton, Joshua L. Proctor, and J. Nathan Kutz · 2016

Earlier work this paper cites.

Inferring biological networks by sparse identification of nonlinear dynamics

Niall M. Mangan, Steven L. Brunton, Joshua L. Proctor, and J. Nathan Kutz · 2016

Cited alongside, same era.

Sparse identification for nonlinear optical communication systems: SINO method

Mariia Sorokina, Stylianos Sygletos, and Sergei Turitsyn · 2016

Cited alongside, same era.

Sparse learning of stochastic dynamic equations

Lorenzo Boninsegna, Feliks Nüske, and Cecilia Clementi · 2017

Cited alongside, same era.

Sparse identification of a predator-prey system from simulation data of a convection model

Magnus Dam, Morten Brøns, Jens Juul Rasmussen, Volker Naulin, and Jan S. Hesthaven · 2017

Cited alongside, same era.

Sparse identification of nonlinear dynamics for model predictive control in the low-data limit

Eurika Kaiser, J. Nathan Kutz, and Steven L. Brunton · 2017

Cited alongside, same era.

PDE-Net: Learning PDEs from data

Data-driven discovery of partial differential equations

Samuel H. Rudy, Steven L. Brunton, Joshua L. Proctor, and J. Nathan Kutz · 2017

Later among the works it cites.

Sparse model selection via integral terms

Hayden Schaeffer and Scott G. McCalla · 2017

Later among the works it cites.

Extracting sparse high-dimensional dynamics from limited data

Hayden Schaeffer, Giang Tran, and Rachel Ward · 2017

Later among the works it cites.

Learning dynamical systems and bifurcation via group sparsity

Hayden Schaeffer, Giang Tran, and Rachel Ward · 2017

Later among the works it cites.

Constrained sparse Galerki regression

Jean-Christophe Loiseau and Steven L. Brunton · 2018

Closest in time.

Sparse identification of nonlinear dynamics for rapid model recovery

Markus Quade, Markus Abel, J. Nathan Kutz, and Steven L. Brunton · 2018

Closest in time.