research
ms-Mamba outperforms Transformer models on time-series forecasting with fewer parameters
Researchers introduced ms-Mamba, a multi-scale Mamba architecture for time-series forecasting that outperforms recent Transformer and Mamba-based models while using significantly fewer parameters. On the Solar-Energy dataset, ms-Mamba achieved 0.229 mean-squared error versus 0.240 for S-Mamba while using only 3.53M parameters compared to 4.77M.