Practical Lossless Compression with Latent Variables using Bits Back Coding

15 January 2019

Papers citing "Practical Lossless Compression with Latent Variables using Bits Back Coding"

50 / 93 papers shown

Title
Neural Video Compression using 2D Gaussian Splatting Lakshya Gupta Imran N. Junejo 3DGS 16 0 0 14 May 2025
Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images Tian Qiu Arjun Nichani Rasta Tadayontahmasebi Haewon Jeong 36 0 0 05 May 2025
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations Yihang Lu Yangyang Xu Qitao Qing Xianwei Meng AI4TS 51 0 0 17 Apr 2025
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search Daniel de Souza Severo Giuseppe Ottaviano Matthew Muckley Karen Ullrich Matthijs Douze MQ 53 0 0 16 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 62 2 0 13 Jan 2025
CALLIC: Content Adaptive Learning for Lossless Image Compression Daxin Li Yuanchao Bai Kai Wang Junjun Jiang Xianming Liu Wen Gao VLM 45 0 0 23 Dec 2024
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding Daniel de Souza Severo Ashish Khisti Alireza Makhzani 69 1 0 30 Nov 2024
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image Kai Wang Yuanchao Bai Daxin Li Deming Zhai Junjun Jiang Xianming Liu 34 2 0 23 Oct 2024
Test-time adaptation for image compression with distribution regularization Kecheng Chen Pingping Zhang Tiexin Qin Shiqi Wang Hong Yan Haoliang Li 35 1 0 16 Oct 2024
Point Cloud Compression with Bits-back Coding Nguyen Quang Hieu Minh-Duong Nguyen D. Hoang Diep N. Nguyen E. Dutkiewicz 3DPC 23 0 0 09 Oct 2024
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data David Heurtel-Depeiges Anian Ruoss Joel Veness Tim Genewein 46 1 0 07 Oct 2024
Getting Free Bits Back from Rotational Symmetries in LLMs Jiajun He Gergely Flamich José Miguel Hernández-Lobato MQ 23 0 0 02 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 53 8 0 12 Sep 2024
Image and Video Tokenization with Binary Spherical Quantization Yue Zhao Yuanjun Xiong Philipp Krahenbuhl 45 18 0 11 Jun 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits G. Gala Cassio de Campos Antonio Vergari Erik Quaeghebeur TPM 69 4 0 10 Jun 2024
Accelerating Relative Entropy Coding with Space Partitioning Jiajun He Gergely Flamich José Miguel Hernández-Lobato 28 1 0 20 May 2024
GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression Daxin Li Yuanchao Bai Kai Wang Junjun Jiang Xianming Liu Wen Gao ViT 37 6 0 02 May 2024
GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting Xinjie Zhang Xingtong Ge Tongda Xu Dailan He Yan Wang Hongwei Qin Guo Lu Jing Geng Jun Zhang 3DGS 46 22 0 13 Mar 2024
Idempotence and Perceptual Image Compression Tongda Xu Ziran Zhu Dailan He Yanghao Li Lina Guo ... Zhe Wang Hongwei Qin Yan Wang Jingjing Liu Ya Zhang 43 15 0 17 Jan 2024
Probabilistic Integral Circuits G. Gala Cassio de Campos Robert Peharz Antonio Vergari Erik Quaeghebeur TPM 24 3 0 25 Oct 2023
Language Modeling Is Compression Grégoire Delétang Anian Ruoss Paul-Ambroise Duquenne Elliot Catt Tim Genewein ... Wenliang Kevin Li Matthew Aitchison Laurent Orseau Marcus Hutter J. Veness AI4CE 53 133 0 19 Sep 2023
Conditional Perceptual Quality Preserving Image Compression Tongda Xu Qian Zhang Yanghao Li Dailan He Zhe Wang Yuanyuan Wang Hongwei Qin Yan Wang Jingjing Liu Ya-Qin Zhang 45 5 0 16 Aug 2023
Bayesian Flow Networks Alex Graves R. Srivastava Timothy James Atkinson Faustino J. Gomez BDL 38 43 0 14 Aug 2023
Approximating Human-Like Few-shot Learning with GPT-based Compression C.-Y. Huang Yuqing Xie Zhiying Jiang Jimmy J. Lin Ming Li 30 9 0 14 Aug 2023
Unscented Autoencoder Faris Janjos Lars Rosenbaum Maxim Dolgov J. Marius Zöllner 21 2 0 08 Jun 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
Computationally-Efficient Neural Image Compression with Shallow Decoders Yibo Yang Stephan Mandt 13 24 0 13 Apr 2023
Latent Discretization for Continuous-time Sequence Compression Ricky T. Q. Chen Matt Le Matthew Muckley Maximilian Nickel Karen Ullrich 19 0 0 28 Dec 2022
Sparse Probabilistic Circuits via Pruning and Growing Meihua Dang Guy Van den Broeck Mathias Niepert TPM 38 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
Multi-Sample Training for Neural Image Compression Tongda Xu Yan Wang Dailan He Chenjian Gao Han-yi Gao Kun Liu Hongwei Qin 34 5 0 28 Sep 2022
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression Yuanchao Bai Xianming Liu Kai Wang Xiangyang Ji Xiaoling Wu Wen Gao 32 22 0 11 Sep 2022
Lossy Image Compression with Quantized Hierarchical VAEs Zhihao Duan Ming Lu Zhan Ma F. Zhu 46 43 0 27 Aug 2022
Learned Lossless JPEG Transcoding via Joint Lossy and Residual Compression Xiaoshuai Fan Xin Li Zhibo Chen 42 1 0 24 Aug 2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model Zhiying Jiang Yi-Zhu Dai Ji Xin Ming Li Jimmy J. Lin 24 5 0 23 Jun 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows Siyu Wang Jianfei Chen Chongxuan Li Jun Zhu Bo Zhang MQ 26 7 0 17 Jun 2022
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework Ning Kang Shanzhao Qiu Shifeng Zhang Zhenguo Li Shutao Xia 22 17 0 10 Jun 2022
Improving VAE-based Representation Learning Mingtian Zhang Tim Z. Xiao Brooks Paige David Barber SSL DRL 10 9 0 28 May 2022
Gacs-Korner Common Information Variational Autoencoder Michael Kleinman Alessandro Achille Stefano Soatto J. Kao CML DRL 32 12 0 24 May 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 45 14 0 23 May 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini GAN DRL 22 28 0 14 Apr 2022
Split Hierarchical Variational Compression Tom Ryder Chen Zhang Ning Kang Shifeng Zhang 19 11 0 05 Apr 2022
Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain Lina Guo Xinjie Shi Dailan He Yuanyuan Wang Rui Ma Hongwei Qin Yan Wang 38 6 0 30 Mar 2022
A Fast Transformer-based General-Purpose Lossless Compressor Yushun Mao Yufei Cui Tei-Wei Kuo Chun Jason Xue ViT AI4CE 26 28 0 30 Mar 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 31 3 0 22 Feb 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 24 118 0 14 Feb 2022
Parallel Neural Local Lossless Compression Mingtian Zhang James Townsend Ning Kang David Barber 25 7 0 13 Jan 2022
Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective Robert Bamler 34 11 0 05 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 Guy Van den Broeck Stephan Mandt Mathias Niepert TPM 21 21 0 23 Nov 2021