- Classical two-variable symmetries play an important role in many EDA applications, ranging from logic synthesis to formal verification. This paper proposes a complete circuit-bas...
Jin S. Zhang, Alan Mishchenko, Robert K. Brayton, ...
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
It is an important criterion of program correctness that a program accesses resources in a valid manner. For example, a memory region that has been allocated should be eventually ...
In this paper, we propose a new shape decomposition method, called convex shape decomposition. We formalize the convex decomposition problem as an integer linear programming probl...
—This paper proposes a method of learning a similarity matrix from pairwise constraints for interactive clustering. The similarity matrix can be learned by solving an optimizatio...