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Correlated initialization of deep residual networks

Benning, Felix et al.
arXiv (All) · Papers
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60g1860g2260h1068t07machine-learningprobability
We study the large-depth behavior of residual networks whose weights are correlated across layers at initialization. Our results confirm and extend a conjecture of Marion et al. [2025], according to which correlated initializations should interpolate continuously between the Brownian stochastic diff
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