35 citations · 64 across the 5 of their papers we have counts for
5 papers
Learning nonequilibrium statistical mechanics and dynamical phase transitions
Ying Tang, Jing Liu, Jiang Zhang +1
Nonequilibrium statistical mechanics exhibit a variety of complex phenomena far from equilibrium. It inherits challenges of equilibrium, including accurately describing the joint d…
Learning Non-Vacuous Generalization Bounds from Optimization
Chengli Tan, Jiangshe Zhang, Junmin Liu +1
One of the fundamental challenges in the deep learning community is to theoretically understand how well a deep neural network generalizes to unseen data. However, current approach…
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…
Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs
Yaoxin Li, Jing Liu, Guozheng Lin +3
In computer science, there exist a large number of optimization problems defined on graphs, that is to find a best node state configuration or a network structure such that the des…
Structural and vibrational properties of phenanthrene under pressure
Qiao-Wei Huang, Jiang Zhang, Adam Berlie +9
The structural and vibrational properties of phenanthrene are measured at high pressures up to 30.2 GPa by Raman spectroscopy and synchrotron x-ray diffraction techniques. Two phas…