activity
20222026
most citedEnergy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression

3 citations · 5 across the 4 of their papers we have counts for

collaborators
Showing cs.ARShow all

1 paper · 1 filter

cs.AR2026

Co-Design of CNN Accelerators for TinyML using Approximate Matrix Decomposition

José Juan Hernández Morales, Georgios Mentzos, Frank Hannig +4

The paradigm shift towards local and on-device inference under stringent resource constraints is represented by the tiny machine learning (TinyML) domain. The primary goal of TinyM…