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Conditional discrete diffusion models operate on discrete categorical distributions and are naturally suited to discrete variables such as precipitation levels; their advantage is the ability to generate diverse and structurally realistic samples, but the sampling process is not directly aligned with point-wise error metrics (such as RMSE).
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10/30/2026
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