
Neural Implicit Flow (NIF) can accurately represent the latent dynamics of both integrable and non-integrable canonical systems, such as the forced Korteweg-de Vries (fKdV), Kuramoto-Sivashinsky (KS), and Sine-Gordon (SG) equations.


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using-neural-implicit-flow-to-accurately-represent-latent-dynamics-of-canonical-integrable-and-non-integrable-systems


Using Neural Implicit Flow to Accurately Represent Latent Dynamics of Canonical Integrable and Non-Integrable Systems
