2024
CGN: A Simple Yet Effective Multi-Channel Gated Network for Long-Term Time Series Forecasting
ICASSP 2024accepted
Transformers have gained widespread attention in the field of time series forecasting due to their exceptional capability to capture intricate interactions within sequences. However, as the sequence length increases, Transformer-based models face disadvantages such as high memory consumption, blurre…