9 citations · 9 across the 1 of their papers we have counts for
3 papers
cs.LG2020
Space of Functions Computed by Deep-Layered Machines
Alexander Mozeika, Bo Li, David Saad
We study the space of functions computed by random-layered machines, including deep neural networks and Boolean circuits. Investigating the distribution of Boolean functions comput…
physics.soc-ph2020
Reducing urban traffic congestion due to localized routing decisions
Bo Li, David Saad, Andrey Y. Lokhov
Balancing traffic flow by influencing drivers' route choices to alleviate congestion is becoming increasingly more appealing in urban traffic planning. Here, we introduce a discret…
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…