1. To train a diffusion model able to generate random states in the attractor space of the Kuramoto-Sivasshinsky equation.
2. To use the backbone of the trained diffusion model to train a forecaster model with addition of one layer.
Initial stages
arn97/Diffusion_forecast_KS
Folders and files
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