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G. Navarro

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#machine learning Preprint Oct 2026

NeuralZip: Reusable Setup for Fast Lossless Compression

Lossless compression can reduce the storage and movement of model weights without changing their floating-point values, but repeated statistical analysis and code construction add computational overhead. We study whether the statistical structure of exponents can be prepared once and reused. For this, we introduce Neur...

Martín Bravo, Samuel Horváth, G. Navarro et al. · 0 citations

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