Matteo Risso

According to our database, Matteo Risso authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones.

Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello

CoRR, 2024

HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays.

Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

CoRR, 2024

Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones.

Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello

CoRR, 2024

2023

Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge.

Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

IEEE Trans. Computers, March, 2023

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

Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico Macii, Luca Benini, Daniele Jahier Pagliari

CoRR, 2023

Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification.

Lia Morra, Alberto Azzari, Letizia Bergamasco, Marco Braga, Luigi Capogrosso, Federico Delrio, Giuseppe Di Giacomo, Simone Eiraudo, Giorgia Ghione, Rocco Giudice, Alkis Koudounas, Luca Piano, Daniele Rege Cambrin, Matteo Risso, Marco Rondina, Alessandro Sebastian Russo, Marco Russo, Francesco Taioli, Lorenzo Vaiani, Chiara Vercellino

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

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

Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

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

Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

PLiNIO: A User-Friendly Library of Gradient-Based Methods for Complexity-Aware DNN Optimization.

Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti, Alessio Burrello

Proceedings of the Forum on Specification & Design Languages, 2023

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

Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring.

Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti

ACM Trans. Comput. Heal., 2022

Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks.

Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022

Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes.

Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

Proceedings of the 13th IEEE International Green and Sustainable Computing Conference, 2022

2021

Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices.

Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino

IEEE Trans. Biomed. Circuits Syst., 2021

Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring.

Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks.

Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021