Copertina

Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lei, Eric, Hassani, Hamed, Bidokhti, Shirin Saeedi
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Information Theory Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
di: Lei, Eric, et al.
Pubblicazione: (2024)

Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
di: Lei, Eric, et al.
Pubblicazione: (2025)

Graph Signal Diffusion Models for Wireless Resource Allocation
di: Uslu, Yigit Berkay, et al.
Pubblicazione: (2026)

Output-Constrained Lossy Source Coding With Application to Rate-Distortion-Perception Theory
di: Xie, Li, et al.
Pubblicazione: (2024)

Group Testing with General Correlation Using Hypergraphs
di: Nikpey, Hesam, et al.
Pubblicazione: (2024)

A Constrained BA Algorithm for Rate-Distortion and Distortion-Rate Functions
di: Chen, Lingyi, et al.
Pubblicazione: (2023)

Gaussian Rate-Distortion-Perception Coding and Entropy-Constrained Scalar Quantization
di: Xie, Li, et al.
Pubblicazione: (2024)

Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion
di: Li, Dongxu, et al.
Pubblicazione: (2024)

Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space
di: Qu, Xiqiang, et al.
Pubblicazione: (2025)

Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
di: Chen, Xingran, et al.
Pubblicazione: (2026)

Model-Aware Rate-Distortion Limits for Task-Oriented Source Coding
di: Enttsel, Andriy, et al.
Pubblicazione: (2026)

Neural Distributed Source Coding
di: Whang, Jay, et al.
Pubblicazione: (2021)

Bayesian Despeckling of Structured Sources
di: Zafari, Ali, et al.
Pubblicazione: (2025)

Rate-Distortion Optimization for Transformer Inference
di: de Andrade, Anderson, et al.
Pubblicazione: (2026)

Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
di: Kögler, Kevin, et al.
Pubblicazione: (2024)

PrismQuant: Rate-Distortion-Optimal Vector Quantization for Gaussian-Mixture Sources
di: Park, Bumsu, et al.
Pubblicazione: (2026)

Training-Free Rate-Distortion-Perception Traversal With Diffusion
di: Wang, Yuhan, et al.
Pubblicazione: (2026)

Code Rate Optimization via Neural Polar Decoders
di: Aharoni, Ziv, et al.
Pubblicazione: (2025)

The Rate-Distortion-Perception Trade-off: The Role of Private Randomness
di: Hamdi, Yassine, et al.
Pubblicazione: (2024)

Transferable Graphical MARL for Real-Time Estimation in Dynamic Wireless Networks
di: Chen, Xingran, et al.
Pubblicazione: (2024)

Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception Measure
di: Salehkalaibar, Sadaf, et al.
Pubblicazione: (2024)

A Rate-Distortion Framework for Summarization
di: Arda, Enes, et al.
Pubblicazione: (2025)

A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate
di: Chen, Junren, et al.
Pubblicazione: (2023)

The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs
di: Fang, Junli, et al.
Pubblicazione: (2023)

Steering the Herd: A Framework for LLM-based Control of Social Learning
di: Arghal, Raghu, et al.
Pubblicazione: (2025)

A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff
di: Liang, Zijian, et al.
Pubblicazione: (2026)

RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory
di: Zuo, Fei, et al.
Pubblicazione: (2026)

Data-Driven Neural Estimation of Indirect Rate-Distortion Function
di: Yu, Zichao, et al.
Pubblicazione: (2024)

Two-Sided Bounds for Entropic Optimal Transport via a Rate-Distortion Integral
di: Liu, Jingbo
Pubblicazione: (2026)

Joint Source-Channel-Generation Coding: From Distortion-oriented Reconstruction to Semantic-consistent Generation
di: Wu, Tong, et al.
Pubblicazione: (2026)

Semantic Rate Distortion and Posterior Design: Compute Constraints, Multimodality, and Strategic Inference
di: Akyol, Emrah
Pubblicazione: (2026)

Rateless DeepJSCC for Broadcast Channels: a Rate-Distortion-Complexity Tradeoff
di: Qin, Zijun, et al.
Pubblicazione: (2026)

Robust Estimation Under Heterogeneous Corruption Rates
di: Chaudhuri, Syomantak, et al.
Pubblicazione: (2025)

Contextual Memory-Enhanced Source Coding for Low-SNR Communications
di: Wang, Ziqiong, et al.
Pubblicazione: (2026)

Federated Learning via Lattice Joint Source-Channel Coding
di: Azimi-Abarghouyi, Seyed Mohammad, et al.
Pubblicazione: (2024)

A Parametric Rate-Distortion Model for Video Transcoding
di: Jamali, Maedeh, et al.
Pubblicazione: (2024)

Generative Diffusion Models for Resource Allocation in Wireless Networks
di: Uslu, Yigit Berkay, et al.
Pubblicazione: (2025)

Copula-based Estimation of Continuous Sources for a Class of Constrained Rate-Distortion-Functions
di: Serra, Giuseppe, et al.
Pubblicazione: (2024)

Rate-Distortion-Perception Function of Bernoulli Vector Sources
di: Vippathalla, Praneeth Kumar, et al.
Pubblicazione: (2025)

Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designs
di: Gündüz, Deniz, et al.
Pubblicazione: (2024)