7 citations · 8 across the 2 of their papers we have counts for
2 papers
econ.GN2024★ 1 cited
Optimal Trade and Industrial Policies in the Global Economy: A Deep Learning Framework
Zi Wang, Xingcheng Xu, Yanqing Yang +1
We propose a deep learning framework, DL-opt, designed to efficiently solve for optimal policies in quantifiable general equilibrium trade models. DL-opt integrates (i) a nested fi…
cs.SE2024★ 7 cited
Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects
Han Wang, Sijia Yu, Chunyang Chen +2
Deep Learning (DL) models have rapidly advanced, focusing on achieving high performance through testing model accuracy and robustness. However, it is unclear whether DL projects, a…