53 citations · 127 across the 9 of their papers we have counts for
3 papers · 1 filter
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization
Konstantinos Balaskas, Andreas Karatzas, Christos Sad +4
Deep Neural Networks (DNNs) have shown significant advantages in a wide variety of domains. However, DNNs are becoming computationally intensive and energy hungry at an exponential…
Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons
Florentia Afentaki, Gurol Saglam, Argyris Kokkinis +3
Printed Electronics (PE) feature distinct and remarkable characteristics that make them a prominent technology for achieving true ubiquitous computing. This is particularly relevan…
Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons
Argyris Kokkinis, Georgios Zervakis, Kostas Siozios +2
The demand of many application domains for flexibility, stretchability, and porosity cannot be typically met by the silicon VLSI technologies. Printed Electronics (PE) has been int…