66 citations · 117 across the 3 of their papers we have counts for
3 papers
cond-mat.stat-mech2021★ 35 cited
Tensor networks for unsupervised machine learning
Jing Liu, Sujie Li, Jiang Zhang +1
Modeling the joint distribution of high-dimensional data is a central task in unsupervised machine learning. In recent years, many interests have been attracted to developing learn…
cond-mat.stat-mech2021★ 16 cited
Boltzmann machines as two-dimensional tensor networks
Sujie Li, Feng Pan, Pengfei Zhou +1
Restricted Boltzmann machines (RBM) and deep Boltzmann machines (DBM) are important models in machine learning, and recently found numerous applications in quantum many-body physic…
physics.comp-ph2019★ 66 cited
Contracting Arbitrary Tensor Networks: General Approximate Algorithm and Applications in Graphical Models and Quantum Circuit Simulations
Feng Pan, Pengfei Zhou, Sujie Li +1
We present a general method for approximately contracting tensor networks with an arbitrary connectivity. This enables us to release the computational power of tensor networks to w…