Algorithms for the Communication of Samples

25 October 2021

Papers citing "Algorithms for the Communication of Samples"

22 / 22 papers shown

Title
Speculative Sampling via Exponential Races Szymon Kobus Deniz Gündüz LRM 30 0 0 21 Apr 2025
Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff E. Lei Hamed Hassani Shirin Saeedi Bidokhti 76 2 0 21 Mar 2025
Lossy Compression with Pretrained Diffusion Models Jeremy Vonderfecht Feng Liu DiffM 97 1 0 20 Jan 2025
Progressive Compression with Universally Quantized Diffusion Models Yibo Yang Justus C. Will Stephan Mandt DiffM 77 2 0 14 Dec 2024
Minimal Communication-Cost Statistical Learning Milad Sefidgaran Abdellatif Zaidi Piotr Krasnowski 29 0 0 12 Jun 2024
Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu Wei-Ning Chen Ayfer Özgür Cheuk Ting Li 42 2 0 28 May 2024
Accelerating Relative Entropy Coding with Space Partitioning Jiajun He Gergely Flamich José Miguel Hernández-Lobato 28 1 0 20 May 2024
Some Notes on the Sample Complexity of Approximate Channel Simulation Gergely Flamich Lennie Wells 32 3 0 07 May 2024
Adaptive Compression in Federated Learning via Side Information Berivan Isik Francesco Pase Deniz Gunduz Sanmi Koyejo Tsachy Weissman M. Zorzi FedML 31 9 0 22 Jun 2023
Compression with Bayesian Implicit Neural Representations Zongyu Guo Gergely Flamich Jiajun He Zhibo Chen José Miguel Hernández-Lobato 31 25 0 30 May 2023
High-Fidelity Image Compression with Score-based Generative Models Emiel Hoogeboom E. Agustsson Fabian Mentzer Luca Versari G. Toderici Lucas Theis DiffM 21 38 0 26 May 2023
Semantic Communication of Learnable Concepts Francesco Pase S. Kobus Deniz Gunduz M. Zorzi 19 3 0 14 May 2023
Computationally-Efficient Neural Image Compression with Shallow Decoders Yibo Yang Stephan Mandt 13 22 0 13 Apr 2023
Multi-Realism Image Compression with a Conditional Generator E. Agustsson David C. Minnen G. Toderici Fabian Mentzer 17 68 0 28 Dec 2022
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
Lossy Image Compression with Conditional Diffusion Models Ruihan Yang Stephan Mandt DiffM 11 125 0 14 Sep 2022
Lossy Image Compression with Quantized Hierarchical VAEs Zhihao Duan Ming-Tse Lu Zhan Ma F. Zhu 46 43 0 27 Aug 2022
Lossy Compression with Gaussian Diffusion Lucas Theis Tim Salimans Matthew D. Hoffman Fabian Mentzer DiffM 28 77 0 17 Jun 2022
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding E. Lei Hamed Hassani Shirin Saeedi Bidokhti 13 19 0 04 Apr 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 22 117 0 14 Feb 2022
Towards Empirical Sandwich Bounds on the Rate-Distortion Function Yibo Yang Stephan Mandt 30 24 0 23 Nov 2021
On the advantages of stochastic encoders Lucas Theis E. Agustsson 49 44 0 18 Feb 2021