1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Tensor Network for Supervised Learning at Finite Temperature
Haoxiang Lin, Shuqian Ye, Xi Zhu
The large variation of datasets is a huge barrier for image classification tasks. In this paper, we embraced this observation and introduce the finite temperature tensor network (F…
physics.chem-ph2019
Symmetrical Graph Neural Network for Quantum Chemistry, with Dual R/K Space
Shuqian Ye, Jiechun Liang, Rulin Liu +1
Most of current neural network models in quantum chemistry (QC) exclude the molecular symmetry, separate the well-correlated real space (R space), and momenta space (K space) into…