126 citations · 216 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 61 cited
Supervised Learning with Projected Entangled Pair States
Song Cheng, Lei Wang, Pan Zhang
Tensor networks, a model that originated from quantum physics, has been gradually generalized as efficient models in machine learning in recent years. However, in order to achieve…
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…
stat.ML2019★ 126 cited
Tree Tensor Networks for Generative Modeling
Song Cheng, Lei Wang, Tao Xiang +1
Matrix product states (MPS), a tensor network designed for one-dimensional quantum systems, has been recently proposed for generative modeling of natural data (such as images) in t…