13 citations · 26 across the 4 of their papers we have counts for
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cs.LG2024★ 9 cited
An Empirical Study of Mamba-based Language Models
Roger Waleffe, Wonmin Byeon, Duncan Riach +13
Selective state-space models (SSMs) like Mamba overcome some of the shortcomings of Transformers, such as quadratic computational complexity with sequence length and large inferenc…
cs.LG2023★ 13 cited
Convolutional State Space Models for Long-Range Spatiotemporal Modeling
Jimmy T. H. Smith, Shalini De Mello, Jan Kautz +2
Effectively modeling long spatiotemporal sequences is challenging due to the need to model complex spatial correlations and long-range temporal dependencies simultaneously. ConvLST…