4 citations · 11 across the 7 of their papers we have counts for
3 papers · 1 filter
Interdicting Restructuring Networks with Applications in Illicit Trafficking
Daniel Kosmas, Thomas C. Sharkey, John E. Mitchell +2
We consider a new class of max flow network interdiction problems, where the defender is able to introduce new arcs to the network after the attacker has made their interdiction de…
Training Deep Neural Networks with Constrained Learning Parameters
Prasanna Date, Christopher D. Carothers, John E. Mitchell +2
Today's deep learning models are primarily trained on CPUs and GPUs. Although these models tend to have low error, they consume high power and utilize large amount of memory owing…
Low-Rank Factorization for Rank Minimization with Nonconvex Regularizers
April Sagan, John E. Mitchell
Rank minimization is of interest in machine learning applications such as recommender systems and robust principal component analysis. Minimizing the convex relaxation to the rank…