38 citations · 112 across the 10 of their papers we have counts for
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cs.SI2019★ 11 cited
Scalable Influence Estimation Without Sampling
Andrey Y. Lokhov, David Saad
In a diffusion process on a network, how many nodes are expected to be influenced by a set of initial spreaders? This natural problem, often referred to as influence estimation, bo…
cond-mat.dis-nn2019★ 9 cited
Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks
Bo Li, David Saad
Mean field theory has been successfully used to analyze deep neural networks (DNN) in the infinite size limit. Given the finite size of realistic DNN, we utilize the large deviatio…
physics.soc-ph2019
Competition, Collaboration, and Optimization in Multiple Interacting Spreading Processes
Hanlin Sun, David Saad, Andrey Y. Lokhov
Competition and collaboration are at the heart of multi-agent probabilistic spreading processes. The battle on public opinion and competitive marketing campaigns are typical exampl…