Scientific Machine Learning (SciML) is concerned with the development of...
Machine learning-based modeling of physical systems has experienced incr...
In this paper we investigate a simple hypothesis for the Open Informatio...
It is well-known that training of generative adversarial networks (GANs)...
Compressing deep neural network (DNN) models becomes a very important an...