Papers/2608.26363
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A Unified Framework for the Mechanics of Information in Convolutional Neural Network Image Space

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CNNinformation theoryimage processingscale-invariance
2608.26363
Builder Relevance
70%
1h ago

Abstract

This paper introduces a unified mathematical framework for modeling information propagation through convolutional neural networks (CNNs).

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Core Claim

The paper establishes a correspondence between discrete filter symmetry in CNNs and the relativistic energy-momentum relation, enhancing the understanding of information propagation in image processing.

Method / Result

Demonstrations in 3D images reveal blob-like, scale-invariant Morse critical points across various physical scales.

Limitations

The paper does not specify practical implementations or reproducibility details for the proposed framework.

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