52 citations · 180 across the 17 of their papers we have counts for
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cs.LG2023★ 11 cited
The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold
Jialin Mao, Itay Griniasty, Han Kheng Teoh +5
We develop information-geometric techniques to analyze the trajectories of the predictions of deep networks during training. By examining the underlying high-dimensional probabilis…
cond-mat.soft2023★ 6 cited
Bifurcation instructed design of multistate machines
Teaya Yang, David Hathcock, Yuchao Chen +4
We propose a novel design paradigm for multistate machines where transitions from one state to another are organized by bifurcations of multiple equilibria of the energy landscape…