12 citations · 19 across the 6 of their papers we have counts for
6 papers
Learning Graphs through Continuous Information Entropy Fields
Hui Cong, Bo Sun, Ziheng Jiao +1
Graph theory is inherently descriptive, capturing what relationships exist but not why they arise, because it treats edges as primitive constructs. This paper proposes a new explan…
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators
Qixing Huang, Xiangru Huang, Bo Sun +3
This paper introduces an unsupervised loss for training parametric deformation shape generators. The key idea is to enforce the preservation of local rigidity among the generated s…
Learning Order Parameters from Videos of Dynamical Phases for Skyrmions with Neural Networks
Weidi Wang, Zeyuan Wang, Yinghui Zhang +2
The ability to recognize dynamical phenomena (e.g., dynamical phases) and dynamical processes in physical events from videos, then to abstract physical concepts and reveal physical…
The Stochastic Replica Approach to Machine Learning: Stability and Parameter Optimization
Patrick Chao, Tahereh Mazaheri, Bo Sun +2
We introduce a statistical physics inspired supervised machine learning algorithm for classification and regression problems. The method is based on the invariances or stability of…
Inference of hidden structures in complex physical systems by multi-scale clustering
Z. Nussinov, P. Ronhovde, Dandan Hu +5
We survey the application of a relatively new branch of statistical physics--"community detection"-- to data mining. In particular, we focus on the diagnosis of materials and autom…
An interacting replica approach applied to the traveling salesman problem
Bo Sun, Blake Leonard, Peter Ronhovde +1
We present a physics inspired heuristic method for solving combinatorial optimization problems. Our approach is specifically motivated by the desire to avoid trapping in metastable…