A new unsupervised model, RP-GSSM, learns Markovian Gaussian latent dynamics from time series via maximum likelihood without an observation decoder, and outperforms baselines on video tasks with distractors.
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Maximum Likelihood Learning of Latent Dynamics Without Reconstruction
A new unsupervised model, RP-GSSM, learns Markovian Gaussian latent dynamics from time series via maximum likelihood without an observation decoder, and outperforms baselines on video tasks with distractors.