2 papers
nlin.CD2026
Dynamics Creation through Neural Dynamical Transfer Learning
He Ma, Qiyang Ge, Yu Meng +2
Data-driven machine learning has established a robust foundation for reconstructing nonlinear dynamical systems from observations, primarily for the purposes of forecasting and con…
math.DS2026
Ptolemy's Equant Equates to a Universal Dynamical Clock via Machine Learning
Jingdong Zhang, Luan Yang, Murilo S. Baptista +4
Oscillatory dynamics arise ubiquitously in nonlinear systems, yet identifying a physically interpretable phase and phase dynamics in nonlinear, high-dimensional oscillations remain…