Mateus Grellert

CGP-based Logic Flow: Optimizing Accuracy and Size of Approximate Circuits

2022 · Journal of Integrated Circuits and Systems

Logic synthesis tools face tough challenges when providing algorithms for synthesizing circuits with increased inputs and complexity. Machine learning techniques show high performance in solving specific problems, being an attractive option to improve electronic design …

Exploring Asymmetric Autoencoder Architectures for Computationally Efficient Neural Image Compression

2025 · IEEE Design and Test

Neural image compression (NIC) employs neural network models called autoencoders to compress images. NIC offers comparable or better rate-distortion performance and visual quality than traditional methods but requires significant processing power for compression and decompression. …