40 citations · 171 across the 18 of their papers we have counts for
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cs.LG2022★ 1 cited
Grasping Core Rules of Time Series through Pure Models
Gedi Liu, Yifeng Jiang, Yi Ouyang +2
Time series underwent the transition from statistics to deep learning, as did many other machine learning fields. Although it appears that the accuracy has been increasing as the m…
cs.LG2022★ 18 cited
S-Rocket: Selective Random Convolution Kernels for Time Series Classification
Hojjat Salehinejad, Yang Wang, Yuanhao Yu +2
Random convolution kernel transform (Rocket) is a fast, efficient, and novel approach for time series feature extraction using a large number of independent randomly initialized 1-…
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…