2 citations · 2 across the 2 of their papers we have counts for
2 papers
q-bio.NC2023★ 2 cited
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry
Andrew Ligeralde, Yilun Kuang, Thomas Edward Yerxa +3
Prior to the onset of vision, neurons in the developing mammalian retina spontaneously fire in correlated activity patterns known as retinal waves. Experimental evidence suggests t…
cs.LG2020
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses
Charles G. Frye, James Simon, Neha S. Wadia +3
Despite the fact that the loss functions of deep neural networks are highly non-convex, gradient-based optimization algorithms converge to approximately the same performance from m…