AI RESEARCH
Characterizing Nonlinear Dynamics via Smooth Prototype Equivalences
arXiv CS.LG
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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