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This video discusses the various machine learning optimization schemes that may be used for the This video discusses how to choose an effective library of candidate terms for the This video discusses how to choose good coordinates for the In this DDPS Seminar Series talk from Sept. 30, 2021, Peter Benner, a director at the Max Planck Institute for Bogdan Batko, Jagiellonian University July 9, 2024 Fourth Symposium on Machine Learning and

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Sparse Nonlinear Dynamics Models with SINDy, Part 3: Effective Coordinates for Parsimonious Models

Sparse Identification of Nonlinear Dynamics (SINDy)

DDPS | Identification of Nonlinear Dynamical Systems from Noisy Measurements

Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization

Sparse Identification of Nonlinear Dynamics for Model Predictive Control

System Identification: Sparse Nonlinear Models with Control

Sparse Identification of Nonlinear Dynamical Systems on systems exhibiting chaotic behaviour

ADDRESSING OVERFITTING ISSUES IN THE SPARSE IDENTIFICATION OF NONLINEAR DYNAMICAL SYSTEMS

Identifying nonlinear dynamics with high confidence from sparse data

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Last Updated: June 7, 2026

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Sparse Nonlinear Dynamics Models with SINDy, Part 2: Training Data & Disambiguating Models

Sparse Nonlinear Dynamics Models with SINDy, Part 2: Training Data & Disambiguating Models

This video discusses data requirements for the

Sparse Nonlinear Dynamics Models with SINDy, Part 5: The Optimization Algorithms

Sparse Nonlinear Dynamics Models with SINDy, Part 5: The Optimization Algorithms

This video discusses the various machine learning optimization schemes that may be used for the

Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!

Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!

Machine learning is enabling the discovery of

Sparse Nonlinear Dynamics Models with SINDy, Part 4: The Library of Candidate Nonlinearities

Sparse Nonlinear Dynamics Models with SINDy, Part 4: The Library of Candidate Nonlinearities

This video discusses how to choose an effective library of candidate terms for the

Sparse Nonlinear Dynamics Models with SINDy, Part 3: Effective Coordinates for Parsimonious Models

Sparse Nonlinear Dynamics Models with SINDy, Part 3: Effective Coordinates for Parsimonious Models

This video discusses how to choose good coordinates for the

Sparse Identification of Nonlinear Dynamics (SINDy)

Sparse Identification of Nonlinear Dynamics (SINDy)

This video illustrates a new algorithm for the

DDPS | Identification of Nonlinear Dynamical Systems from Noisy Measurements

DDPS | Identification of Nonlinear Dynamical Systems from Noisy Measurements

In this DDPS Seminar Series talk from Sept. 30, 2021, Peter Benner, a director at the Max Planck Institute for

Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization

Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization

Reduced-order

Sparse Identification of Nonlinear Dynamics for Model Predictive Control

Sparse Identification of Nonlinear Dynamics for Model Predictive Control

This lecture shows how to use

System Identification: Sparse Nonlinear Models with Control

System Identification: Sparse Nonlinear Models with Control

This lecture explores an extension of the

Sparse Identification of Nonlinear Dynamical Systems on systems exhibiting chaotic behaviour

Sparse Identification of Nonlinear Dynamical Systems on systems exhibiting chaotic behaviour

Jash Bari.

ADDRESSING OVERFITTING ISSUES IN THE SPARSE IDENTIFICATION OF NONLINEAR DYNAMICAL SYSTEMS

ADDRESSING OVERFITTING ISSUES IN THE SPARSE IDENTIFICATION OF NONLINEAR DYNAMICAL SYSTEMS

Over the past four years, the derivation of

Identifying nonlinear dynamics with high confidence from sparse data

Identifying nonlinear dynamics with high confidence from sparse data

Bogdan Batko, Jagiellonian University July 9, 2024 Fourth Symposium on Machine Learning and