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cs.LG2025
Symbolic Neural Ordinary Differential Equations
Xin Li, Chengli Zhao, Xue Zhang +1
Differential equations are widely used to describe complex dynamical systems with evolving parameters in nature and engineering. Effectively learning a family of maps from the para…
cs.LG2024★ 1 cited
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
Xin Li, Jingdong Zhang, Qunxi Zhu +4
Modeling complex systems using standard neural ordinary differential equations (NODEs) often faces some essential challenges, including high computational costs and susceptibility…