247 citations · 967 across the 25 of their papers we have counts for
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cs.LG2022
Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel
Kaito Watanabe, Kotaro Sakamoto, Ryo Karakida +2
A biological neural network in the cortex forms a neural field. Neurons in the field have their own receptive fields, and connection weights between two neurons are random but high…
cs.LG2018★ 20 cited
Fisher Information and Natural Gradient Learning of Random Deep Networks
Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi
A deep neural network is a hierarchical nonlinear model transforming input signals to output signals. Its input-output relation is considered to be stochastic, being described for…