Tag: proposition
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Gibbs randomness-compression proposition: An efficient deep learning
Gibbs randomness-compression proposition: An efficient deep learning arXiv:2505.23869v1 Announce Type: new Abstract: A proposition that connects randomness and compression put forward via Gibbs entropy over set of measurement vectors associated with a compression process. The proposition states that a lossy compression process is equivalent to {it directed randomness} that preserves information content. The proposition originated…