There is a growing demand for application-specific embedded processors in system-on-a-chip designs. Current tools and design methodologies often require designers to manually spec...
Armita Peymandoust, Laura Pozzi, Paolo Ienne, Giov...
Craig interpolation is a well known method of abstraction successfully used in both hardware and software model checking. The logical strength of interpolants can affect the quali...
Simone Fulvio Rollini, Ondrej Sery, Natasha Sharyg...
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
Abstract—A variational approach is proposed for the unsupervised assessment of attribute variability of high-dimensional data given a differentiable similarity measure. The key q...