A dual-channel forecasting architecture combining channel-independent Mamba and channel-mixing linear attention is proposed, but its claimed superiority is contradicted by its own experimental table on several datasets and horizons.
A flexible and lightweight deep learning weather forecasting model,
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DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting
A dual-channel forecasting architecture combining channel-independent Mamba and channel-mixing linear attention is proposed, but its claimed superiority is contradicted by its own experimental table on several datasets and horizons.