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Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking
Residual connections and symmetry-breaking nonlinearities cause geometric continuity across deep network layers, with activation and normalization distributing it differently across singular directions and projection types.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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