SPF trains a one-step forecaster on a mixture of ground-truth and self-generated states, improving long-term rollout accuracy on two fluid benchmarks with constant memory use.
Casulli, Semi-implicit finite difference methods for the two-dimensional shallow water equations, Journal of Computational Physics 86 (1990) 56–74
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Improving Long-term Autoregressive Spatiotemporal Predictions: A Proof of Concept with Fluid Dynamics
SPF trains a one-step forecaster on a mixture of ground-truth and self-generated states, improving long-term rollout accuracy on two fluid benchmarks with constant memory use.