45 citations · 54 across the 4 of their papers we have counts for
5 papers
Lossless Compression with Latent Variable Models
James Townsend
We develop a simple and elegant method for lossless compression using latent variable models, which we call 'bits back with asymmetric numeral systems' (BB-ANS). The method involve…
A tutorial on the range variant of asymmetric numeral systems
James Townsend
This paper is intended to be a brief and accessible introduction to the range variant of asymmetric numeral systems (ANS), a system for lossless compression of sequences which can…
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models
James Townsend, Thomas Bird, Julius Kunze +1
We make the following striking observation: fully convolutional VAE models trained on 32x32 ImageNet can generalize well, not just to 64x64 but also to far larger photographs, with…
Practical Lossless Compression with Latent Variables using Bits Back Coding
James Townsend, Tom Bird, David Barber
Deep latent variable models have seen recent success in many data domains. Lossless compression is an application of these models which, despite having the potential to be highly u…
The VC-Dimension of Similarity Hypotheses Spaces
Mark Herbster, Paul Rubenstein, James Townsend
Given a set and a function which labels each element of with either or , we may define a function to measure the similarity of…