Nature

Sparse transformer with local and seasonal adaptation for multivariate time series forecasting

Transformers have achieved remarkable performance in multivariate time series(MTS) forecasting due to their capability to capture long-term dependencies. However, the canonical attention mechanism has ...
Nature

DRCNN: decomposing residual convolutional neural networks for time series forecasting

Recent studies have shown great performance of Transformer-based models in long-term time series forecasting due to their ability in capturing long-term dependencies. However, Transformers have their ...