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Mamba by yedadaskarma is a document available to read on EtoBox.

The document explores the effectiveness of Mamba, a selective state space model, for time series forecasting (TSF), highlighting its near-linear complexity and ability to capture hidden patterns similar to Transformer models while reducing computational overhead. The proposed Simple-Mamba (S-Mamba) model utilizes a bidirectional Mamba layer and a Feed-Forward Network to extract inter-variate correlations and temporal dependencies, demonstrating superior performance on thirteen public datasets compared to st

Author
yedadaskarma
Language
EN