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OrigamiSL authored Nov 28, 2023
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This is the origin Pytorch implementation of FPPformer in the following paper:
[Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer] (Manuscript submitted to IEEE IoT).

It owns two versions. The first version is the default one with channel-independent multivariate forecasting formula. The second version is the one, required by one of the reviewers, with additional cross-variable modules. Two versions are distinguished by the argument '--Cross' in main.py.

## The Entire Architecture of FPPformer
The overview of our proposed FPPformer is illustrated in Figure 1 and its major enhancement on vanilla TSFT concentrates on addressing the preceding two problems of decoder.
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