5 citations · 10 across the 11 of their papers we have counts for
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cs.LG2024★ 1 cited
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
Md Atik Ahamed, Qiang Cheng
Multivariate time series classification (TSC) is critical for various applications in fields such as healthcare and finance. While various approaches for TSC have been explored, im…
cs.LG2024★ 5 cited
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
Md Atik Ahamed, Qiang Cheng
Long-term time-series forecasting remains challenging due to the difficulty in capturing long-term dependencies, achieving linear scalability, and maintaining computational efficie…
cs.LG2024★ 3 cited
MambaTab: A Plug-and-Play Model for Learning Tabular Data
Md Atik Ahamed, Qiang Cheng
Despite the prevalence of images and texts in machine learning, tabular data remains widely used across various domains. Existing deep learning models, such as convolutional neural…