research
∙
07/18/2023
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization
Accurate yet efficient Deep Neural Networks (DNNs) are in high demand, e...
share
research
∙
06/08/2023
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference
The need to execute Deep Neural Networks (DNNs) at low latency and low p...
research
∙
03/03/2023
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs
Miniaturized autonomous unmanned aerial vehicles (UAVs) are an emerging ...
research
∙
01/24/2023
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
Neural Architecture Search (NAS) is quickly becoming the go-to approach ...
research
∙
06/17/2022
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes
Quantization is widely employed in both cloud and edge systems to reduce...
research
∙
06/01/2022
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks
Neural Architecture Search (NAS) is increasingly popular to automaticall...
research
∙
03/28/2022
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks
Temporal Convolutional Networks (TCNs) are promising Deep Learning model...
research
∙
03/28/2022
Robust and Energy-efficient PPG-based Heart-Rate Monitoring
A wrist-worn PPG sensor coupled with a lightweight algorithm can run on ...
research
∙
03/24/2022
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices
Hearth Rate (HR) monitoring is increasingly performed in wrist-worn devi...
research
∙
03/01/2022
