Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding

Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding

22 February 2021

Daniel de Souza Severo

Ashish Khisti

Alireza Makhzani

Chris J. Maddison

Papers citing "Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding"

17 / 17 papers shown

Title
Test-time adaptation for image compression with distribution regularization Kecheng Chen Pingping Zhang Tiexin Qin Shiqi Wang Hong Yan Haoliang Li 40 1 0 16 Oct 2024
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? Lorenzo Loconte Antonio Mari G. Gala Robert Peharz Cassio de Campos Erik Quaeghebeur G. Vessio Antonio Vergari 58 8 0 12 Sep 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits G. Gala Cassio de Campos Antonio Vergari Erik Quaeghebeur TPM 71 4 0 10 Jun 2024
Probabilistic Integral Circuits G. Gala Cassio de Campos Robert Peharz Antonio Vergari Erik Quaeghebeur TPM 24 3 0 25 Oct 2023
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs Daniel de Souza Severo James Townsend Ashish Khisti Alireza Makhzani 29 2 0 16 May 2023
Latent Discretization for Continuous-time Sequence Compression Ricky T. Q. Chen Matt Le Matthew Muckley Maximilian Nickel Karen Ullrich 24 0 0 28 Dec 2022
Sparse Probabilistic Circuits via Pruning and Growing Meihua Dang Hoang Trung-Dung Guy Van den Broeck TPM 46 15 0 22 Nov 2022
Verified Reversible Programming for Verified Lossless Compression James Townsend Jan-Willem van de Meent 27 0 0 02 Nov 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 50 14 0 23 May 2022
Parallel Neural Local Lossless Compression Mingtian Zhang James Townsend Ning Kang David Barber 25 7 0 13 Jan 2022
Towards Empirical Sandwich Bounds on the Rate-Distortion Function Yibo Yang Stephan Mandt 30 24 0 23 Nov 2021
Lossless Compression with Probabilistic Circuits Hoang Trung-Dung Stephan Mandt Guy Van den Broeck TPM 21 21 0 23 Nov 2021
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise Guodong Zhang Kyle Hsu Jianing Li Chelsea Finn Roger C. Grosse 27 39 0 21 Jul 2021
Compressing Multisets with Large Alphabets using Bits-Back Coding Daniel de Souza Severo James Townsend Ashish Khisti Alireza Makhzani Karen Ullrich 27 8 0 15 Jul 2021
Partition and Code: learning how to compress graphs Giorgos Bouritsas Andreas Loukas Nikolaos Karalias M. Bronstein 19 13 0 05 Jul 2021
Lossless Compression with Latent Variable Models James Townsend BDL DRL 33 6 0 21 Apr 2021
Lossless compression with state space models using bits back coding James Townsend Iain R. Murray 31 8 0 18 Mar 2021