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Information Theory

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Information Theory

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Research Frontiers in Rate-Distortion Theory

Analyzes the fundamental tradeoffs between data compression rates and allowable distortion in lossy information transmission.

Lossy Compression Under Adversarial Perturbation Constraints
Rate-Distortion Beyond Shannon's Additive Noise Model
Multi-Agent Information Hiding and Distributed Rate-Distortion
Semantic Information Loss in High-Dimensional Data Compression
Rate-Distortion Trade-offs in Quantum Information Systems
Causal Inference Under Bounded Communication and Distortion
Privacy-Aware Compression: Information Leakage at Fixed Rate
Temporal Correlation Exploitation in Streaming Rate-Distortion
Non-Convex Distortion Metrics and Practical Compression Limits
Rate-Distortion Alignment Between Human Perception and Machines

All Information Theory PhD categories