1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Towards a tailored mixed-precision sub-8-bit quantization scheme for Gated Recurrent Units using Genetic Algorithms
Riccardo Miccini, Alessandro Cerioli, Clément Laroche +3
Despite the recent advances in model compression techniques for deep neural networks, deploying such models on ultra-low-power embedded devices still proves challenging. In particu…
cs.SD2023
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting
Riccardo Miccini, Alaa Zniber, Clément Laroche +6
Although deep learning has made strides in the field of deep noise suppression, leveraging deep architectures on resource-constrained devices still proved challenging. Therefore, w…