1 citations · 1 across the 3 of their papers we have counts for
4 papers
Efficient Deep Learning of GMMs
Shirin Jalali, Carl Nuzman, Iraj Saniee
We show that a collection of Gaussian mixture models (GMMs) in can be optimally classified using neurons in a neural network with two hidden layers (deep neural netw…
A New Family of Near-metrics for Universal Similarity
Chu Wang, Iraj Saniee, William S. Kennedy +1
We propose a family of near-metrics based on local graph diffusion to capture similarity for a wide class of data sets. These quasi-metametrics, as their names suggest, dispense wi…
Scaling of random walk betweenness in networks
O. Narayan, I. Saniee
The betweenness centrality of graphs using random walk paths instead of geodesics is studied. A scaling collapse with no adjustable parameters is obtained as the graph size is…
Fast approximation algorithms for -centres in large -hyperbolic graphs
Katherine Edwards, W. Sean Kennedy, Iraj Saniee
We provide a quasilinear time algorithm for the -center problem with an additive error less than or equal to 3 times the input graph's hyperbolic constant. Specifically, for the…