Bidirectional joint-attention, complete forecasting aggregation, and direct mapping form the most effective Transformer design for long-term time series forecasting.
Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting,
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The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting
Bidirectional joint-attention, complete forecasting aggregation, and direct mapping form the most effective Transformer design for long-term time series forecasting.