2 papers
cs.LG2026
Discovery of Nonlinear Dynamics with Automated Basis Function Generation
Mohammad Amin Basiri, Charles Nicholson
Discovering governing equations from observational data remains a fundamental challenge in scientific modeling, particularly when the underlying mathematical structure is unknown.…
eess.SY2025
SINDyG: Sparse Identification of Nonlinear Dynamical Systems from Graph-Structured Data, with Applications to Stuart-Landau Oscillator Networks
Mohammad Amin Basiri, Sina Khanmohammadi
The combination of machine learning (ML) and sparsity-promoting techniques is enabling direct extraction of governing equations from data, revolutionizing computational modeling in…