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Feature Learning Dynamics in Infinite-Depth Neural Networks
For one-layer ResNets under depth-μP scaling, reused-weight forward-backward coupling vanishes at initialization but SGD induces surviving correlations suppressed by depth, yielding a rigorous infinite-depth Neural Feature Dynamics limit.
Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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