23 citations · 44 across the 13 of their papers we have counts for
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cs.LG2023★ 5 cited
Data-aware customization of activation functions reduces neural network error
Fuchang Gao, Boyu Zhang
Activation functions play critical roles in neural networks, yet current off-the-shelf neural networks pay little attention to the specific choice of activation functions used. Her…
cs.LG2023★ 2 cited
: A Double Autoencoder for Imputation of Missing Values
Fuchang Gao
The most common strategy of imputing missing values in a table is to study either the column-column relationship or the row-row relationship of the data table, then use the relatio…
cs.LG2020★ 1 cited
A Use of Even Activation Functions in Neural Networks
Fuchang Gao, Boyu Zhang
Despite broad interest in applying deep learning techniques to scientific discovery, learning interpretable formulas that accurately describe scientific data is very challenging be…