13 citations · 38 across the 4 of their papers we have counts for
12 papers
Stochastic Replica Voting Machine Prediction of Stable Cubic and Double Perovskite Materials and Binary Alloys
T. Mazaheri, Bo Sun, J. Scher-Zagier +6
A machine learning approach that we term the `Stochastic Replica Voting Machine' (SRVM) algorithm is presented and applied to a binary and a 3-class classification problems in mate…
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…
Algorithm independent bounds on community detection problems and associated transitions in stochastic block model graphs
Richard K. Darst, David R. Reichman, Peter Ronhovde +1
We derive rigorous bounds for well-defined community structure in complex networks for a stochastic block model (SBM) benchmark. In particular, we analyze the effect of inter-commu…
An edge density definition of overlapping and weighted graph communities
Richard K. Darst David R. Reichman Peter Ronhovde, Zohar Nussinov
Community detection in networks refers to the process of seeking strongly internally connected groups of nodes which are weakly externally connected. In this work, we introduce and…
Local multiresolution order in community detection
Peter Ronhovde, Zohar Nussinov
Community detection algorithms attempt to find the best clusters of nodes in an arbitrary complex network. Multi-scale ("multiresolution") community detection extends the problem t…