10 citations · 18 across the 6 of their papers we have counts for
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3 papers · 1 filter
cs.LG2022★ 10 cited
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song, Ke Xue, Xiaobin Huang +1
Bayesian optimization (BO) is a class of popular methods for expensive black-box optimization, and has been widely applied to many scenarios. However, BO suffers from the curse of…
cs.NE2022★ 1 cited
Neural Network Pruning by Cooperative Coevolution
Haopu Shang, Jia-Liang Wu, Wenjing Hong +1
Neural network pruning is a popular model compression method which can significantly reduce the computing cost with negligible loss of accuracy. Recently, filters are often pruned…
cs.LG2022
An Adaptive and Scalable ANN-based Model-Order-Reduction Method for Large-Scale TO Designs
Ren Kai Tan, Chao Qian, Dan Xu +1
Topology Optimization (TO) provides a systematic approach for obtaining structure design with optimum performance of interest. However, the process requires numerical evaluation of…