Collision fiber sizes determine precise zero-error compression bounds and rate-distortion laws for semantic identity, establishing symbolic mechanisms as necessary complements to non-injective neural representations.
Noiseless coding of correlated information sources,
2 Pith papers cite this work. Polarity classification is still indexing.
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Adaptive transform coding for semantic feature compression, motivated by the conditional rate-distortion function of a Gaussian mixture model, outperforms or matches neural compression methods on vision backbone features while remaining flexible and interpretable.
citing papers explorer
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Semantic Identity Compression: Zero-Error Laws, Rate-Distortion, and Neurosymbolic Necessity
Collision fiber sizes determine precise zero-error compression bounds and rate-distortion laws for semantic identity, establishing symbolic mechanisms as necessary complements to non-injective neural representations.
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Adaptive Transform Coding for Semantic Compression
Adaptive transform coding for semantic feature compression, motivated by the conditional rate-distortion function of a Gaussian mixture model, outperforms or matches neural compression methods on vision backbone features while remaining flexible and interpretable.