Matteo Risso

According to our database, Matteo Risso authored at least 22 papers between 2021 and 2025.

Collaborative distances:

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

2025

Optimizing DNN Inference on Multi-accelerator SoCs at Training-Time.

Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2025

MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design.

Giovanni Pollo, Mohamed Amine Hamdi, Matteo Risso, Lorenzo Ruotolo, Pietro Furbatto, Matteo Isoldi, Yukai Chen, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Sara Vinco

CoRR, May, 2025

Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data.

Matteo Risso, Alessia Goffi, Beatrice Alessandra Motetti, Alessio Burrello, Jean Baptiste Bove, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Giuseppe Maffeis

Proceedings of the 6th IEEE International Conference on Image Processing, 2025

2024

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

IEEE Trans. Emerg. Top. Comput., 2024

Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks.

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

CoRR, 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

Proceedings of the European Robotics Forum 2024, 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

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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques.

Giulia Elena Aliffi, Joao Baixinho, Dalibor Barri, Francesco Daghero, Nicola Di Carolo, Gabriele Faraone, Michelangelo Grosso, Daniele Jahier Pagliari, Jiri Jakovenko, Vladimír Janícek, Dario Licastro, Vazgen Melikyan, Matteo Risso, Vittorio Romano, Eugenio Serianni, Martin Stastný, Patrik Vacula, Giorgia Vitanza, Chen Xie

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices.

Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari

Proceedings of the 21st ACM International Conference on Computing Frontiers, 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

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