The problem of cooperatively performing a set of t tasks in a decentralized setting where the computing medium is subject to failures is one of the fundamental problems in distrib...
Chryssis Georgiou, Alexander Russell, Alexander A....
A K-smoothing network is a distributed, low-contention data structure where tokens arrive arbitrarily on w input wires and reach w output wires via their completely asynchronous p...
Many processes in the cell involve interaction among the proteins and determination of the networks of such interactions is of immense importance towards the complete understanding...
Mudassar Iqbal, Alex Alves Freitas, Colin G. Johns...
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
At every stage in physical design, engineers are faced with many different objectives and tools to develop, optimize, and evaluate their design. Each choice of a tool or an objec...