Preprint
Aug 2026
LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems
LieStoNet is introduced, an end-to-end, template-free framework for discovering Lie-point symmetries of SDEs directly from spatiotemporal trajectories, without prespecifying symmetry groups, templates, or canonical coordinates.
Shida Liu, Abhishek Gupta, S. Sinha et al.
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