We present a one-shot method for compressing large labeled graphs called...
Lossless compression implementations typically contain two programs, an
...
The recently proposed Neural Local Lossless Compression (NeLLoC), which ...
We propose a new, more general approach to the design of stochastic
grad...
Current methods that optimally compress multisets are not suitable for
h...
We develop a simple and elegant method for lossless compression using la...
We generalize the 'bits back with ANS' method to time-series models with...
Latent variable models have been successfully applied in lossless compre...
This paper is intended to be an accessible introduction to the range var...
We make the following striking observation: fully convolutional VAE mode...
Deep latent variable models have seen recent success in many data domain...
Optimization on manifolds is a class of methods for optimization of an
o...