Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
Iain Murray, Ryan Prescott Adams, David J. C. MacK...
Constraint networks have been shown to be useful in formulating such diverse problems as scene labeling, natural language parsing, and temporal reasoning. Given a constraint netwo...
We propose EndoScope, a software monitoring framework that allows users to pose declarative queries that monitor the state and performance of running programs. Unlike most existin...
ct Increasingly, model checking is being applied to more abstract problem domains than the traditional protocol analysis. The extent to which such an approach is able to provide us...
Abstract. Object-oriented language concepts have been highly successful, resulting in a large number of object-oriented languages and language extensions. Unfortunately, formal met...