3 papers
cs.IT2026
A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems
Shitong Wu, Sicheng Xu, Lingyi Chen +4
Rate-distortion (RD) theory and its related formulations play a central role in understanding efficient information representation, but computing these quantities remains challengi…
cs.IT2025
Neural Estimation of the Information Bottleneck Based on a Mapping Approach
Lingyi Chen, Shitong Wu, Sicheng Xu +2
The information bottleneck (IB) method is a technique designed to extract meaningful information related to one random variable from another random variable, and has found extensiv…
cs.IT2025
Estimating Rate-Distortion Functions Using the Energy-Based Model
Shitong Wu, Sicheng Xu, Lingyi Chen +2
The rate-distortion (RD) theory is one of the key concepts in information theory, providing theoretical limits for compression performance and guiding the source coding design, wit…