Gateformer combines temporal patching attention, variate-wise attention, and two gating mechanisms to achieve the best average forecasting error on most of 13 multivariate benchmarks, and it reports improved accuracy when plugged into several existing transformer and LLM forecasters.
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Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations
Gateformer combines temporal patching attention, variate-wise attention, and two gating mechanisms to achieve the best average forecasting error on most of 13 multivariate benchmarks, and it reports improved accuracy when plugged into several existing transformer and LLM forecasters.