Jeong, K., Paeng, W., & Suh, H. (2026). Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking.
Chicago-Zitierstil (17. Ausg.)Jeong, Kyungwon, Won-Gi Paeng, und Honggyo Suh. Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking. 2026.
MLA-Zitierstil (9. Ausg.)Jeong, Kyungwon, et al. Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking. 2026.
Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.