activity
20222026
most citedLightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge

48 citations · 154 across the 27 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.LG2023★ 24 cited

Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices

Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti +3

The rapid proliferation of computing domains relying on Internet of Things (IoT) devices has created a pressing need for efficient and accurate deep-learning (DL) models that can r…

cs.LG2023★ 3 cited

PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization

Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti +1

Accurate yet efficient Deep Neural Networks (DNNs) are in high demand, especially for applications that require their execution on constrained edge devices. Finding such DNNs in a…

eess.SP2023★ 5 cited

Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation

Alessio Burrello, Matteo Risso, Noemi Tomasello +5

Modern smartwatches often include photoplethysmographic (PPG) sensors to measure heartbeats or blood pressure through complex algorithms that fuse PPG data with other signals. In t…

cs.LG2023

Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference

Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda +5

The need to execute Deep Neural Networks (DNNs) at low latency and low power at the edge has spurred the development of new heterogeneous Systems-on-Chips (SoCs) encapsulating a di…

cs.RO2023★ 8 cited

Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs

Elia Cereda, Luca Crupi, Matteo Risso +5

Miniaturized autonomous unmanned aerial vehicles (UAVs) are an emerging and trending topic. With their form factor as big as the palm of one hand, they can reach spots otherwise in…

cs.LG2023★ 48 cited

Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge

Matteo Risso, Alessio Burrello, Francesco Conti +6

Neural Architecture Search (NAS) is quickly becoming the go-to approach to optimize the structure of Deep Learning (DL) models for complex tasks such as Image Classification or Obj…