Networks of ultra-low-power nodes capable of sensing, computation, and wireless communication have applications in medicine, science, industrial automation, and security. Over the...
The computational power and sensory capabilities of mobile devices are increasing dramatically these days, rendering them suitable for real-time sound synthesis and various musica...
Yinsheng Zhou, Zhonghua Li, Dillion Tan, Graham Pe...
— Centrality is a concept often used in social network analysis to study different properties of networks that are modeled as graphs. We present a new centrality metric called Lo...
Cosmological simulators are an important component in the study of the formation of galaxies and large scale structures, and can help answer many important questions about the uni...
Pritish Jetley, Filippo Gioachin, Celso L. Mendes,...
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...