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News/Detecting overfitting in Neural Networks during long-horizon grokking using Random Matrix Theory
arxiv
PublishedMay 16, 2026 at 4:00 AM
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Detecting overfitting in Neural Networks during long-horizon grokking using Random Matrix Theory

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arXiv:2605.12394v2 Announce Type: replace-cross Abstract: Training Neural Networks (NNs) without overfitting is difficult; detecting that overfitting is difficult as well. We present a novel Random Matrix Theory method that detects the onset of overfitting in deep learning models without access to t

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