Emergent low-dimensional topological dynamics constrain optimization trajectories in billion-parameter neural networks
Read the original at arxiv.org→arXiv:2611.08502v1 Announce Type: new Abstract: The remarkable generalization of modern over-parameterized neural networks defies classical statistical learning bounds. Here we establish that optimization...
Original headline: "Emergent Low-Dimensional Topological Dynamics Dictate Generalization and Escape Mechanics in Billion-Parameter Neural Networks"
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- Nov 9, 05:00 UTC arXiv cs.LG lead source Emergent Low-Dimensional Topological Dynamics Dictate Generalization and Escape Mechanics in Billion-Parameter Neural Networks