June 5, 2024, 4:45 a.m. | Carles Balsells-Rodas, Yixin Wang, Yingzhen Li

cs.LG updates on arXiv.org arxiv.org

arXiv:2305.15925v4 Announce Type: replace-cross
Abstract: The identifiability of latent variable models has received increasing attention due to its relevance in interpretability and out-of-distribution generalisation. In this work, we study the identifiability of Switching Dynamical Systems, taking an initial step toward extending identifiability analysis to sequential latent variable models. We first prove the identifiability of Markov Switching Models, which commonly serve as the prior distribution for the continuous latent variables in Switching Dynamical Systems. We present identification conditions for first-order Markov …

abstract analysis arxiv attention cs.lg distribution interpretability prove replace stat.ml study systems type work

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