most citedAdaptive parameters identification for nonlinear dynamics using deep permutation invariant networks

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cs.LG2025★ 4 cited

Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks

Mouad Elaarabi, Domenico Borzacchiello, Yves Le Guennec +2

The promising outcomes of dynamical system identification techniques, such as SINDy [Brunton et al. 2016], highlight their advantages in providing qualitative interpretability and…