Resolution information equals a binary divergence based only on prior probabilities when posteriors are unconstrained, but constrained generative representations can induce irreducible ambiguity floors due to posterior geometry.
Semantic-aware power allocation for generative semantic communications with foundation models
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
An intention-aware semantic agent system for AI glasses reduces bandwidth by over 50% in simulations while preserving task performance through adaptive preprocessing guided by inferred user intentions.
Q-GESCO uses quantized diffusion models to regenerate images from semantic maps in noisy channels, matching full-precision performance with up to 75% memory and 79% FLOP reductions.
citing papers explorer
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Resolution Information: Limits of Ambiguity Resolution for Generative Communication
Resolution information equals a binary divergence based only on prior probabilities when posteriors are unconstrained, but constrained generative representations can induce irreducible ambiguity floors due to posterior geometry.
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Intention-Aware Semantic Agent Communications for AI Glasses
An intention-aware semantic agent system for AI glasses reduces bandwidth by over 50% in simulations while preserving task performance through adaptive preprocessing guided by inferred user intentions.
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Lightweight Diffusion Models for Resource-Constrained Semantic Communication
Q-GESCO uses quantized diffusion models to regenerate images from semantic maps in noisy channels, matching full-precision performance with up to 75% memory and 79% FLOP reductions.