2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.DC2026★ 2 cited
scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation
Ebrahim Farahmand, Mohammad Javad Askarizadeh, Ali Mahani +4
In this paper, we propose a scalable approximate multiplier design, scaleTRIM, that approximates the multiplication operation using fitted linear functions, also referred to as lin…
cs.LG2025
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…