Spotlight 3: James Townsend and Iain Murray, Lossless compression with state space models using bits back coding
2021 Contributed Talk
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Workshop: Neural Compression: From Information Theory to Applications
in
Workshop: Neural Compression: From Information Theory to Applications
Abstract
We generalize the 'bits back with ANS' method to time-series models with a latent Markov structure. This family of models includes hidden Markov models (HMMs), linear Gaussian state space models (LGSSMs) and many more. We provide experimental evidence that our method is effective for small scale models, and discuss its applicability to larger scale settings such as video compression.
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