research
∙
04/22/2022
SNE: an Energy-Proportional Digital Accelerator for Sparse Event-Based Convolutions
Event-based sensors are drawing increasing attention due to their high t...
share
research
∙
03/21/2022
Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm
Training quantised neural networks (QNNs) is a non-differentiable optimi...
research
∙
03/07/2022
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization
The design of more complex and powerful neural network models has signif...
research
∙
01/27/2021
Proceedings of the DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021)
This volume contains the papers accepted at the first DATE Friday Worksh...
research
∙
11/03/2020
Analytical aspects of non-differentiable neural networks
Research in computational deep learning has directed considerable effort...
research
∙
05/24/2019