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Towards Empirical Sandwich Bounds on the Rate-Distortion Function

23 November 2021

Papers citing "Towards Empirical Sandwich Bounds on the Rate-Distortion Function"

28 / 28 papers shown

Title
Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff Eric Lei Hamed Hassani Shirin Saeedi Bidokhti 131 2 0 21 Mar 2025
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 86 125 0 14 Feb 2022
Algorithms for the Communication of Samples Lucas Theis Noureldin Yosri 71 43 0 25 Oct 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 231 272 0 18 Apr 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan Karen Ullrich Daniel de Souza Severo James Townsend Ashish Khisti Arnaud Doucet Alireza Makhzani Chris J. Maddison 67 25 0 22 Feb 2021
Hierarchical Autoregressive Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt BDL VGen 165 47 0 19 Oct 2020
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding Gergely Flamich Marton Havasi José Miguel Hernández-Lobato 116 61 0 02 Oct 2020
Evaluating Lossy Compression Rates of Deep Generative Models Sicong Huang Alireza Makhzani Yanshuai Cao Roger C. Grosse EGVM DRL 72 27 0 15 Aug 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression David C. Minnen Saurabh Singh 69 412 0 17 Jul 2020
Universally Quantized Neural Compression E. Agustsson Lucas Theis MQ 98 90 0 17 Jun 2020
Improving Inference for Neural Image Compression Yibo Yang Robert Bamler Stephan Mandt 74 123 0 07 Jun 2020
Compression with Flows via Local Bits-Back Coding Jonathan Ho Evan Lohn Pieter Abbeel 74 53 0 21 May 2019
Integer Discrete Flows and Lossless Compression Emiel Hoogeboom Jorn W. T. Peters Rianne van den Berg Max Welling 111 159 0 17 May 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 106 812 0 16 May 2019
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables F. Kingma Pieter Abbeel Jonathan Ho 57 97 0 16 May 2019
Practical Lossless Compression with Latent Variables using Bits Back Coding James Townsend Thomas Bird David Barber DRL 66 142 0 15 Jan 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 269 5,401 0 28 Sep 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 79 1,277 0 08 Sep 2018
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 210 1,360 0 19 May 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 64 1,055 0 01 Mar 2017
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 94 1,713 0 05 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 344 5,372 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 196 2,538 0 02 Nov 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 209 2,517 0 16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 142 1,823 0 15 Jun 2016
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 276 1,245 0 01 Sep 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 416 43,777 0 01 May 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,923 0 20 Dec 2013