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Compressing Multisets with Large Alphabets
Current methods that optimally compress multisets are not suitable for h...
07/15/2021 ∙ by Daniel Severo, et al. ∙
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Lossless Compression with Latent Variable Models
We develop a simple and elegant method for lossless compression using la...
04/21/2021 ∙ by James Townsend, et al. ∙
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Lossless compression with state space models using bits back coding
We generalize the 'bits back with ANS' method to time-series models with...
03/18/2021 ∙ by James Townsend, et al. ∙
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Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Latent variable models have been successfully applied in lossless compre...
02/22/2021 ∙ by Yangjun Ruan, et al. ∙
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A tutorial on the range variant of asymmetric numeral systems
This paper is intended to be an accessible introduction to the range var...
01/24/2020 ∙ by James Townsend, et al. ∙
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HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models
We make the following striking observation: fully convolutional VAE mode...
12/20/2019 ∙ by James Townsend, et al. ∙
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Practical Lossless Compression with Latent Variables using Bits Back Coding
Deep latent variable models have seen recent success in many data domain...
01/15/2019 ∙ by James Townsend, et al. ∙
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Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation
Optimization on manifolds is a class of methods for optimization of an o...
03/10/2016 ∙ by James Townsend, et al. ∙
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