2 papers
cs.LG2026
Optimizing Tensor Train Decomposition in DNNs for RISC-V Architectures Using Design Space Exploration and Compiler Optimizations
Theologos Anthimopoulos, Milad Kokhazadeh, Vasilios Kelefouras +2
Deep neural networks (DNNs) have become indispensable in many real-life applications like natural language processing, and autonomous systems. However, deploying DNNs on resource-c…
cs.CV2025
Efficient CNN Compression via Multi-method Low Rank Factorization and Feature Map Similarity
M. Kokhazadeh, G. Keramidas, V. Kelefouras
Low-Rank Factorization (LRF) is a widely adopted technique for compressing deep neural networks (DNNs). However, it faces several challenges, including optimal rank selection, a va…