FDN is a neural forecasting architecture that decomposes future predictions via classification to yield interpretable latent patterns alongside SOTA-level accuracy at reduced memory and runtime cost.
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FDN: Interpretable Spatiotemporal Forecasting with Future Decomposition Networks
FDN is a neural forecasting architecture that decomposes future predictions via classification to yield interpretable latent patterns alongside SOTA-level accuracy at reduced memory and runtime cost.