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Isaac Ellmen

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#machine learning Preprint Sep 2026

Correcting the Dropout-LayerNorm Expectation Gap Improves Protein Structure Models

Although $\mathbb{E}[\mathrm{dropout}(x)] = x$, here we show that $\mathbb{E}[\mathrm{LayerNorm}(\mathrm{dropout}(x))]$ is not equal to $\mathrm{LayerNorm}(x)$. Accordingly, the pattern of a Dropout layer followed by a LayerNorm, which is common to many AlphaFold2-based protein structure predictors, produces a systemat...

Isaac Ellmen, David Errington, Matthew I. J. Raybould et al. · 0 citations

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