FIDE: F requency-I nflated Conditional Diffusion Model for E xtreme-A ware Time Series Generation

Neural Information Processing Systems 

It also extends the traditional diffusion-based model, enabling the generation of samples conditioned on the block maxima, thereby enhancing the model's

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