Abstract: This paper studies edge persistence and memory in time-varying (dynamic) networks, and their effect on community detection. In particular, we focus on two models representing network memory, ...
Abstract: By using the nonvolatile and stochastic properties of memristor, memristors crossbar arrays can efficiently accelerate Bayesian neural networks (BNNs). However, Bayesian convolutional neural ...