Before revision:  Large amounts of data , which are necessary to rank CVs with confidence, are cheaply generated by a deep neural network (DNN) surrogatemodel of the underlying process.
After revision:  The data requirements of this information-theoretic approach to GSA are met by replacing computationally intensive components of the physics-based model with a deep neural network (DNN) surrogatemodel of the underlying process.