2 papers
cs.LG2024
AdaQAT: Adaptive Bit-Width Quantization-Aware Training
Cédric Gernigon, Silviu-Ioan Filip, Olivier Sentieys +2
Large-scale deep neural networks (DNNs) have achieved remarkable success in many application scenarios. However, high computational complexity and energy costs of modern DNNs make…
cs.LG2023
Low-Precision Floating-Point for Efficient On-Board Deep Neural Network Processing
Cédric Gernigon, Silviu-Ioan Filip, Olivier Sentieys +2
One of the major bottlenecks in high-resolution Earth Observation (EO) space systems is the downlink between the satellite and the ground. Due to hardware limitations, on-board pow…