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About this paper
Aydin Ghojogh, M.Hadi Sepanj, Benyamin Ghojogh
The paper compares hidden-state sequence models by examining what their states represent, whether they are stochastic, and how they are inferred and trained. It contrasts HMMs and linear Gaussian SSMs with deterministic NLP SSMs such as S4 and Mamba. Their shared chain structure supports analogous procedures, not equivalent models. The paper reports no empirical performance or efficiency results.
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