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News/A Mathematical Theory of Reusable Neural Bases for Network Compression
arxiv
PublishedSeptember 2, 2026 at 4:00 AM

A Mathematical Theory of Reusable Neural Bases for Network Compression

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arXiv:2609.01550v1 Announce Type: cross Abstract: As large AI models become increasingly prevalent across a wide range of applications, memory cost has become a critical bottleneck in both training and inference. To mitigate this issue, we introduce the Linear Reusable Neural Bases Architecture (LRN

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