We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
A key challenge of data-driven social science is the gathering of high quality multi-dimensional datasets. A second challenge relates to design and execution of structured experim...
Aggregation schemes allow to combine several cryptographic values like message authentication codes or signatures into a shorter value such that, despite compression, some notion o...
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...
In this paper we apply the ideas of algebraic topology to the analysis of the finite volume and finite element methods, illuminating the similarity between the discretization str...