AI RESEARCH

Characterizing Nonlinear Dynamics via Smooth Prototype Equivalences

arXiv CS.LG

ArXi:2503.10336v2 Announce Type: replace Characterizing the long term behavior of dynamical systems given limited measurements is a common challenge throughout the physical and biological sciences. This is a challenging task due to the sparsity and noise inherent to empirical observations, as well as the variability of possible long-term dynamics. We address this by