35 citations · 96 across the 10 of their papers we have counts for
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cond-mat.str-el2019★ 35 cited
Automatic Differentiation for Second Renormalization of Tensor Networks
Bin-Bin Chen, Yuan Gao, Yi-Bin Guo +7
Tensor renormalization group (TRG) constitutes an important methodology for accurate simulations of strongly correlated lattice models. Facilitated by the automatic differentiation…
cond-mat.str-el2019★ 10 cited
Cross derivative: a universal and efficient method for phase transitions in classical spin models
Y. Chen, K. Ji, Z. Y. Xie +1
With an auxiliary weak external magnetic field, we reexamine the fundamental thermodynamic function, Gibbs free energy F(T, h), to study the phase transitions in the classical spin…
cs.LG2019★ 29 cited
Compressing deep neural networks by matrix product operators
Ze-Feng Gao, Song Cheng, Rong-Qiang He +4
A deep neural network is a parametrization of a multilayer mapping of signals in terms of many alternatively arranged linear and nonlinear transformations. The linear transformatio…