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arXiv · 2602.00076

Repair Brain Damage: Real-Numbered Error Correction Code for Neural Network

Ziqing Li·Myung Cho·Qiutong Jin·Weiyu Xu
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Abstract

We consider a neural network (NN) that may experience memory faults and computational errors. In this paper, we propose a novel real-number-based error correction code (ECC) capable of detecting and correcting both memory errors and computational errors. The proposed approach introduces structures in the form of real-number-based linear constraints on the NN weights to enable error detection and correction, without sacrificing classification performance or increasing the number of real-valued NN parameters.

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Ziqing Li, Myung Cho, Qiutong Jin, Weiyu Xu. 2026-01-21. Repair Brain Damage: Real-Numbered Error Correction Code for Neural Network. https://arxiv.org/abs/2602.00076

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