Abstract: Extremely large-scale antenna arrays (ELAAs) and millimeter wave (mmWave) communication are prominent enablers in advanced 6G networks. To accommodate the unique characteristics introduced ...
Abstract: There is a vast literature on representation learning based on principles such as coding efficiency, statistical independence, causality, controllability, or symmetry. In this paper we ...
The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...