Matteo Risso - RankMe

44 papers A* 2A 7C 4Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Don't be so Stief! Learning KV Cache low-rank approximation over the Stiefel manifold. CoRR Luca Benfenati, Matteo Risso, Andrea Vannozzi, Ahmet Caner Yüzügüler, Lukas Cavigelli, Enrico Macii, Daniele Jahier Pagliari, Alessio Burrello
2026	J	`jnl`	Improving Continual Learning for Gaussian Splatting based Environments Reconstruction on Commercial Off-the-Shelf Edge Devices. CoRR Ivan Zaino, Matteo Risso, Daniele Jahier Pagliari, Miguel de Prado, Toon Van de Maele, Alessio Burrello
2026	J	`jnl`	OnDA: On-device Channel Pruning for Efficient Personalized Keyword Spotting. CoRR Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari
2025	C	`conf`	Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data. IPAS Matteo Risso, Alessia Goffi, Beatrice Alessandra Motetti, Alessio Burrello, Jean Baptiste Bove, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Giuseppe Maffeis
2025	A	`conf`	MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design. ISLPED 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
2025	J	`jnl`	MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design. CoRR 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
2025	J	`jnl`	Optimizing DNN Inference on Multi-accelerator SoCs at Training-Time. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari
2024	A	`conf`	AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques. DATE 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
2024	A	`conf`	Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones. DATE Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello
2024	J	`jnl`	Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones. CoRR Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello
2024	J	`jnl`	Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data. CoRR Matteo Risso, Alessia Goffi, Beatrice Alessandra Motetti, Alessio Burrello, Jean Baptiste Bove, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Giuseppe Maffeis
2024	J	`jnl`	Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. IEEE Trans. Emerg. Top. Comput. Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico Macii, Luca Benini, Daniele Jahier Pagliari
2024	A	`conf`	HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. DATE Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2024	J	`jnl`	HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays. CoRR Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2024	—	`conf`	Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. CF (Companion) Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari
2024	J	`jnl`	Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. CoRR Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari
2024	J	`jnl`	Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. CoRR Beatrice Alessandra Motetti, Matteo Risso, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2024	—	`conf`	Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. ERF (1) Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello
2024	J	`jnl`	Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. CoRR Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello
2024	J	`jnl`	Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time. CoRR Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari
2023	A*	`conf`	Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. ICRA Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi
2023	J	`jnl`	Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. CoRR Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi
2023	C	`conf`	Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification. NeSy 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
2023	A	`conf`	Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. DATE Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2023	J	`jnl`	Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. CoRR Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2023	J	`jnl`	Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. CoRR Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico Macii, Luca Benini, Daniele Jahier Pagliari
2023	J	`jnl`	Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. CoRR Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2023	J	`jnl`	Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. IEEE Trans. Computers Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2023	C	`conf`	PLiNIO: A User-Friendly Library of Gradient-Based Methods for Complexity-Aware DNN Optimization. FDL Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti, Alessio Burrello
2023	J	`jnl`	PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization. CoRR Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti, Alessio Burrello
2023	A	`conf`	Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. ISLPED Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
2023	J	`jnl`	Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. CoRR Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
2022	—	`conf`	Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. IGSC Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. CoRR Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring. CoRR Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti
2022	J	`jnl`	Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring. ACM Trans. Comput. Heal. Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti
2022	A	`conf`	Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. ISLPED Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. CoRR Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. CoRR Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino
2022	J	`jnl`	Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices. CoRR Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
2022	J	`jnl`	Robust and Energy-efficient PPG-based Heart-Rate Monitoring. CoRR Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
2021	A*	`conf`	Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. DAC Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino
2021	J	`jnl`	Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices. IEEE Trans. Biomed. Circuits Syst. Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
2021	C	`conf`	Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring. ISCAS Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino