HIN-LRI augments a low-regularity integrator with a latent-manifold neural correction trained end-to-end on trajectory error to improve accuracy on nonlinear dispersive equations with rough data.
Yvonne Alama Bronsard, Yvain Bruned, Georg Maierhofer, and Katharina Schratz
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Hybrid Iterative Neural Low-Regularity Integrator for Nonlinear Dispersive Equations
HIN-LRI augments a low-regularity integrator with a latent-manifold neural correction trained end-to-end on trajectory error to improve accuracy on nonlinear dispersive equations with rough data.