2 papers
eess.IV2021
Quality and Complexity Assessment of Learning-Based Image Compression Solutions
João Dick, Brunno Abreu, Mateus Grellert +1
This work presents an analysis of state-of-the-art learning-based image compression techniques. We compare 8 models available in the Tensorflow Compression package in terms of visu…
cs.LG2020
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization
Shubham Rai, Walter Lau Neto, Yukio Miyasaka +37
Logic synthesis is a fundamental step in hardware design whose goal is to find structural representations of Boolean functions while minimizing delay and area. If the function is c…