Flat minima are illusory; generalization is driven by weakness, a reparameterization-invariant measure of compatible completions that predicts performance better than sharpness on MNIST and Fashion-MNIST.
International Conference on Learning Representations , year =
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Proposes HCLM framework formalizing entropy regularization via effective information force and geometric surrogates like log-determinant covariance, with experiments claiming stronger stable forces than softmax entropy.
citing papers explorer
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Are Flat Minima an Illusion?
Flat minima are illusory; generalization is driven by weakness, a reparameterization-invariant measure of compatible completions that predicts performance better than sharpness on MNIST and Fashion-MNIST.
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Human-Centered Learning Mechanics: A Dynamical Framework for Entropy-Regulated Representation Learning
Proposes HCLM framework formalizing entropy regularization via effective information force and geometric surrogates like log-determinant covariance, with experiments claiming stronger stable forces than softmax entropy.