12 citations · 37 across the 9 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.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…
cs.LG2020
Statistical Mechanical Analysis of Neural Network Pruning
Rupam Acharyya, Ankani Chattoraj, Boyu Zhang +2
Deep learning architectures with a huge number of parameters are often compressed using pruning techniques to ensure computational efficiency of inference during deployment. Despit…