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Sparse Identification of Nonlinear Dynamical Systems via Reweighted
  $\ell_1$-regularized Least Squares

Sparse Identification of Nonlinear Dynamical Systems via Reweighted ℓ1\ell_1ℓ1​-regularized Least Squares

27 May 2020
A. Cortiella
K. Park
Alireza Doostan
ArXiv (abs)PDFHTML

Papers citing "Sparse Identification of Nonlinear Dynamical Systems via Reweighted $\ell_1$-regularized Least Squares"

18 / 18 papers shown
Title
Data-driven Discovery of Digital Twins in Biomedical Research
Data-driven Discovery of Digital Twins in Biomedical Research
Clémence Métayer
Annabelle Ballesta
Julien Martinelli
8
0
0
29 Aug 2025
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
Christoph Jürgen Hemmer
Daniel Durstewitz
AI4TSSyDaAI4CE
327
3
0
19 May 2025
Impilict Runge-Kutta based sparse identification of governing equations in biologically motivated systems
Impilict Runge-Kutta based sparse identification of governing equations in biologically motivated systems
Mehrdad Anvari
Hamidreza Marasi
Hossein Kheiri
191
1
0
27 Feb 2025
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in
  Dynamical Systems Reconstruction
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
Manuel Brenner
Christoph Jürgen Hemmer
Zahra Monfared
Daniel Durstewitz
AI4CE
105
5
0
18 Oct 2024
Minimum Reduced-Order Models via Causal Inference
Minimum Reduced-Order Models via Causal Inference
Nan Chen
Honghu Liu
CML
67
2
0
29 Jun 2024
Automating the Discovery of Partial Differential Equations in Dynamical
  Systems
Automating the Discovery of Partial Differential Equations in Dynamical Systems
Weizhen Li
Rui Carvalho
130
1
0
25 Apr 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Niclas Alexander Göring
Florian Hess
Manuel Brenner
Zahra Monfared
Daniel Durstewitz
AI4CE
151
20
0
28 Feb 2024
Sparse discovery of differential equations based on multi-fidelity
  Gaussian process
Sparse discovery of differential equations based on multi-fidelity Gaussian process
Yuhuang Meng
Yue Qiu
165
1
0
22 Jan 2024
Improved identification accuracy in equation learning via comprehensive
  $\boldsymbol{R^2}$-elimination and Bayesian model selection
Improved identification accuracy in equation learning via comprehensive R2\boldsymbol{R^2}R2-elimination and Bayesian model selection
Daniel Nickelsen
B. Bah
159
0
0
22 Nov 2023
Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
Junette Hsin
Shubhankar Agarwal
Adam J. Thorpe
Luis Sentis
David Fridovich-Keil
172
2
0
20 Sep 2023
Exact identification of nonlinear dynamical systems by Trimmed Lasso
Exact identification of nonlinear dynamical systems by Trimmed Lasso
Shawn L. Kiser
M. Guskov
Marc Rébillat
N. Ranc
135
1
0
03 Aug 2023
Automatically identifying ordinary differential equations from data
Automatically identifying ordinary differential equations from data
Kevin Egan
Weizhen Li
Rui Carvalho
81
2
0
21 Apr 2023
Asymptotic consistency of the WSINDy algorithm in the limit of continuum
  data
Asymptotic consistency of the WSINDy algorithm in the limit of continuum data
Daniel Messenger
David M. Bortz
159
16
0
29 Nov 2022
A Causality-Based Learning Approach for Discovering the Underlying
  Dynamics of Complex Systems from Partial Observations with Stochastic
  Parameterization
A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization
Nan Chen
Yinling Zhang
CML
116
17
0
19 Aug 2022
A Priori Denoising Strategies for Sparse Identification of Nonlinear
  Dynamical Systems: A Comparative Study
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study
A. Cortiella
K. Park
Alireza Doostan
104
18
0
29 Jan 2022
Discovery of interpretable structural model errors by combining Bayesian
  sparse regression and data assimilation: A chaotic Kuramoto-Sivashinsky test
  case
Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto-Sivashinsky test case
R. Mojgani
Ashesh Chattopadhyay
Pedram Hassanzadeh
117
17
0
01 Oct 2021
Asymptotic Theory of $\ell_1$-Regularized PDE Identification from a
  Single Noisy Trajectory
Asymptotic Theory of ℓ1\ell_1ℓ1​-Regularized PDE Identification from a Single Noisy Trajectory
Yuchen He
Namjoon Suh
X. Huo
Sungha Kang
Y. Mei
144
1
0
12 Mar 2021
Weak SINDy For Partial Differential Equations
Weak SINDy For Partial Differential Equations
Daniel Messenger
David M. Bortz
197
199
0
06 Jul 2020
1