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cs.LG2022★ 5 cited
Universality and approximation bounds for echo state networks with random weights
Zhen Li, Yunfei Yang
We study the uniform approximation of echo state networks with randomly generated internal weights. These models, in which only the readout weights are optimized during training, h…
cs.LG2022★ 17 cited
Approximation bounds for norm constrained neural networks with applications to regression and GANs
Yuling Jiao, Yang Wang, Yunfei Yang
This paper studies the approximation capacity of ReLU neural networks with norm constraint on the weights. We prove upper and lower bounds on the approximation error of these netwo…