Yi-Min Lin

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Preprint Aug 2026

Mapping the Emergence of Regularization-Driven Dynamics in Grokking

For overparameterized neural networks, many solutions can fit the training data equally well while behaving very differently on unseen samples. Grokking separates training fit from visible generalization, providing a window for studying how this selection develops during training. We sweep short, fixed-duration weight...

Yi-Min Lin, Yuxuan Wang · 1 citation

#machine learning Preprint Aug 2026

Canalization Before Generalization: Grokking as a Dynamical Probe

For overparameterized neural networks, many solutions can fit the training data equally well while behaving very differently on unseen samples. Grokking separates training fit from visible generalization, providing a window for studying how this selection develops during training. We sweep short, fixed-duration weight-...

Yi-Min Lin · 1 citation

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