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cs.NE2022★ 1 cited
Taylor Genetic Programming for Symbolic Regression
Baihe He, Qiang Lu, Qingyun Yang +2
Genetic programming (GP) is a commonly used approach to solve symbolic regression (SR) problems. Compared with the machine learning or deep learning methods that depend on the pre-…
cs.LG2022
Exploring Hidden Semantics in Neural Networks with Symbolic Regression
Yuanzhen Luo, Qiang Lu, Xilei Hu +2
Many recent studies focus on developing mechanisms to explain the black-box behaviors of neural networks (NNs). However, little work has been done to extract the potential hidden s…