Can the hidden-state dimension of a selective state-space model be interpreted as an effective tensor-network bond dimension?
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A question on AI Stack Exchange asks whether the hidden-state dimension of selective state-space models such as Mamba/SSD can be interpreted as an effective tensor-network bond dimension.
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