This paper presents an innovative model of a program’s internal behavior over a set of test inputs, called the probabilistic program dependence graph (PPDG), that facilitates pr...
Studying image intensity change in each pixel in dynamic contrast enhanced (DCE)-MRI data enables differentiation of different tissue types based on their difference in contrast u...
Hatef Mehrabian, Ian Pang, Chaitanya Chandrana, Ra...
We consider the problem if a given program satisfies a specified safety property. Interesting programs have infinite state spaces, with inputs ranging over infinite domains, and f...
Bhargav S. Gulavani, Thomas A. Henzinger, Yamini K...
Understanding the variation of recombination rates across a given genome is crucial for disease gene mapping and for detecting signatures of selection, to name just a couple of app...
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...