3 citations · 4 across the 2 of their papers we have counts for
2 papers
hep-ph2023★ 1 cited
High energy nuclear physics meets Machine Learning
Wan-Bing He, Yu-Gang Ma, Long-Gang Pang +2
Though being seemingly disparate and with relatively new intersection, high energy nuclear physics and machine learning have already begun to merge and yield interesting results du…
physics.comp-ph2021★ 3 cited
Automatic differentiation approach for reconstructing spectral functions with neural networks
Lingxiao Wang, Shuzhe Shi, Kai Zhou
Reconstructing spectral functions from Euclidean Green's functions is an important inverse problem in physics. The prior knowledge for specific physical systems routinely offers es…