2025
SiMBA-TS: Simplified Channel Mixing and Mamba for Long-term Time Series Forecasting
ICASSP 2025accepted
We investigate the question of whether transformers are effective for long-term time series forecasting. They suffer from temporal information loss, even though they use positional encoding to embed order information. This is due to the inherent permutation-invariant nature of attention nets. Mamba…