Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
It is important that practical data-flow analyzers are backed by reliably proven theoretical Abstract interpretation provides a sound mathematical framework and necessary properti...
Patricia M. Hill, Roberto Bagnara, Enea Zaffanella
Because (of) is ambiguous between a `reason' and a `plain cause' interpretation. Presenting a semantic analysis within the framework of Discourse Representation Theory, I...
Traditional economic models typically treat private information, or signals, as generated from some underlying state. Recent work has explicated alternative models, where signals ...
Instruction set simulators are common tools used for the development of new architectures and embedded software among countless other functions. This paper presents a framework th...