12 citations · 12 across the 3 of their papers we have counts for
3 papers
Compressing Deep Neural Networks Using Explainable AI
Kimia Soroush, Mohsen Raji, Behnam Ghavami
Deep neural networks (DNNs) have demonstrated remarkable performance in many tasks but it often comes at a high computational cost and memory usage. Compression techniques, such as…
Quantizing YOLOv7: A Comprehensive Study
Mohammadamin Baghbanbashi, Mohsen Raji, Behnam Ghavami
YOLO is a deep neural network (DNN) model presented for robust real-time object detection following the one-stage inference approach. It outperforms other real-time object detector…
SeaPlace: Process Variation Aware Placement for Reliable Combinational Circuits against SETs and METs
Kiarash Saremi, Hossein Pedram, Behnam Ghavami +3
Nowadays nanoscale combinational circuits are facing significant reliability challenges including soft errors and process variations. This paper presents novel process variation-aw…