Abstract: Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, ...

Chung’s group captured the transition period directly by improving the time resolution of a method called single-molecule ...

The Bureau of Economic Analysis released its personal consumption expenditures price index data for September earlier today. Here is the report, at a glance: Core YoY: 2.8% increase, in line with ...

Abstract: Implicit neural representation (INR) has been a powerful paradigm for effectively compressing time-varying volumetric data. However, the optimization process can span days or even weeks due ...