RISSO, MATTEO
RISSO, MATTEO
Dipartimento di Automatica e Informatica
070913
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones
In corso di stampa Risso, Matteo; Daghero, Francesco; Motetti, BEATRICE ALESSANDRA; JAHIER PAGLIARI, Daniele; Macii, Enrico; Poncino, Massimo; Burrello, Alessio
Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones
2024 Motetti, Beatrice Alessandra; Crupi, Luca; Elshaigi, Mustafa Omer Mohammed Elamin; Risso, Matteo; Jahier Pagliari, Daniele; Palossi, Daniele; Burrello, Alessio
AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques
2024 Aliffi, G. E.; Baixinho, J.; Barri, D.; Daghero, F.; Di Carolo, N.; Faraone, G.; Grosso, M.; Jahier Pagliari, D.; Jakovenko, J.; Janicek, V.; Licastro, D.; Melikyan, V.; Risso, M.; Romano, V.; Serianni, E.; Stastny, M.; Vacula, P.; Vitanza, G.; Xie, C.
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices
2024 Burrello, Alessio; Risso, Matteo; Motetti, BEATRICE ALESSANDRA; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele
HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays
2024 Risso, M.; Xie, C.; Daghero, F.; Burrello, A.; Mollaei, S.; Castellano, M.; Macii, E.; Poncino, M.; JAHIER PAGLIARI, Daniele
Integrating SystemC-AMS power modeling with a RISC-V ISS for virtual prototyping of battery-operated embedded devices
2024 Hamdi, MOHAMED AMINE; Pollo, Giovanni; Risso, Matteo; Haugou, Germain; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; JAHIER PAGLIARI, Daniele
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks
2024 Motetti, Beatrice Alessandra; Risso, Matteo; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs
2023 Cereda, Elia; Crupi, Luca; Risso, Matteo; Burrello, Alessio; Benini, Luca; Giusti, Alessandro; Jahier Pagliari, Daniele; Palossi, Daniele
Designing Logic Tensor Networks for Visual Sudoku puzzle classification
2023 Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; Delrio, Federico; DI GIACOMO, Giuseppe; Eiraudo, Simone; Ghione, Giorgia; Giudice, Rocco; Koudounas, Alkis; Piano, Luca; REGE CAMBRIN, Daniele; Risso, Matteo; Rondina, Marco; Russo, ALESSANDRO SEBASTIAN; Russo, Marco; Taioli, Francesco; Vaiani, Lorenzo; Vercellino, Chiara
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation
2023 Burrello, Alessio; Risso, Matteo; Tomasello, Noemi; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
2023 Risso, Matteo; Burrello, Alessio; Conti, Francesco; Lamberti, Lorenzo; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization
2023 Jahier Pagliari, Daniele; Risso, Matteo; Motetti, Beatrice; Burrello, Alessio
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference
2023 Risso, Matteo; Burrello, Alessio; Maria Sarda, Giuseppe; Benini, Luca; Macii, Enrico; Poncino, Massimo; Verhelst, Marian; JAHIER PAGLIARI, Daniele
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes
2022 Risso, M.; Burrello, A.; Benini, L.; Macii, E.; Poncino, M.; Jahier Pagliari, D.
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring
2022 Burrello, Alessio; JAHIER PAGLIARI, Daniele; Maria Rapa, Pierangelo; Semilia, Matilde; Risso, Matteo; Polonelli, Tommaso; Poncino, Massimo; Benini, Luca; Benatti, Simone
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks
2022 Risso, Matteo; Burrello, Alessio; Benini, Luca; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele
Pruning in Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks
2021 Risso, M.; Burrello, A.; JAHIER PAGLIARI, Daniele; Conti, F.; Lamberti, L.; Macii, E.; Benini, L.; Poncino, M.
Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices
2021 Burrello, A.; JAHIER PAGLIARI, Daniele; Risso, M.; Benatti, S.; Macii, E.; Benini, L.; Poncino, M.
Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring
2021 Risso, Matteo; Burrello, Alessio; Jahier Pagliari, Daniele; Benatti, Simone; Macii, Enrico; Benini, Luca; Poncino, Massimo
Citazione | Data di pubblicazione | Autori | File |
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Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones / Risso, Matteo; Daghero, Francesco; Motetti, BEATRICE ALESSANDRA; JAHIER PAGLIARI, Daniele; Macii, Enrico; Poncino, Massimo; Burrello, Alessio. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno ERF 2024 | European Robotics Forum tenutosi a Rimini (IT) nel March, 13 - 15, 2024). | In corso di stampa | Matteo RissoFrancesco DagheroBeatrice Alessandra MotettiDaniele Jahier PagliariEnrico MaciiMassimo PoncinoAlessio Burrello | 2402.15273v1.pdf |
Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones / Motetti, Beatrice Alessandra; Crupi, Luca; Elshaigi, Mustafa Omer Mohammed Elamin; Risso, Matteo; Jahier Pagliari, Daniele; Palossi, Daniele; Burrello, Alessio. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno Design, Automation and Test in Europe Conference, 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024) [10.23919/DATE58400.2024.10546577]. | 1-gen-2024 | Motetti, Beatrice AlessandraRisso, MatteoJahier Pagliari, DanieleBurrello, Alessio + | Arxiv_Adaptive_Deep_Learning_for_Efficient_Visual_Pose_Estimation_Aboard_Ultra-Low-Power_Nano-Drones.pdf; IEEE_Xplore_Adaptive_Deep_Learning_for_Efficient_Visual_Pose_Estimation_Aboard_Ultra-Low-Power_Nano-Drones.pdf |
AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques / Aliffi, G. E.; Baixinho, J.; Barri, D.; Daghero, F.; Di Carolo, N.; Faraone, G.; Grosso, M.; Jahier Pagliari, D.; Jakovenko, J.; Janicek, V.; Licastro, D.; Melikyan, V.; Risso, M.; Romano, V.; Serianni, E.; Stastny, M.; Vacula, P.; Vitanza, G.; Xie, C.. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024). | 1-gen-2024 | Daghero F.Jahier Pagliari D.Risso M.Xie C. + | AMBEATion_Analog_Mixed-Signal_Back-End_Design_Automation_with_Machine_Learning_and_Artificial_Intelligence_Techniques.pdf; AMBEATion___DATE_MPP.pdf |
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices / Burrello, Alessio; Risso, Matteo; Motetti, BEATRICE ALESSANDRA; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele. - In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING. - ISSN 2168-6750. - ELETTRONICO. - 12:3(2024), pp. 780-794. [10.1109/TETC.2023.3322033] | 1-gen-2024 | Alessio BurrelloMatteo RissoBeatrice Alessandra MotettiEnrico MaciiLuca BeniniDaniele Jahier Pagliari | Journal___Multi_Loss__arxiv_.pdf; Enhancing_Neural_Architecture_Search_with_Multiple_Hardware_Constraints_for_Deep_Learning_Model_Deployment_on_Tiny_IoT_Devices.pdf; Enhancing_Neural_Architecture_Search_With_Multiple_Hardware_Constraints_for_Deep_Learning_Model_Deployment_on_Tiny_IoT_Devices.pdf |
HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays / Risso, M.; Xie, C.; Daghero, F.; Burrello, A.; Mollaei, S.; Castellano, M.; Macii, E.; Poncino, M.; JAHIER PAGLIARI, Daniele. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024). | 1-gen-2024 | Risso M.Xie C.Daghero F.Burrello A.Mollaei S.MacIi E.Poncino M.Daniele Jahier Pagliari + | HW-SW_Optimization_of_DNNs_for_Privacy-Preserving_People_Counting_on_Low-Resolution_Infrared_Arrays.pdf; 2402.01226v1.pdf |
Integrating SystemC-AMS power modeling with a RISC-V ISS for virtual prototyping of battery-operated embedded devices / Hamdi, MOHAMED AMINE; Pollo, Giovanni; Risso, Matteo; Haugou, Germain; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; JAHIER PAGLIARI, Daniele. - ELETTRONICO. - (2024), pp. 51-54. (Intervento presentato al convegno Computing Frontiers Open-Source Hardware Workshop tenutosi a Ischia (ITA) nel May 7 - 9, 2024) [10.1145/3637543.3652873]. | 1-gen-2024 | Mohamed Amine HamdiGiovanni PolloMatteo RissoAlessio BurrelloEnrico MaciiMassimo PoncinoSara VincoDaniele Jahier Pagliari + | 2404.01861.pdf; 3637543.3652873.pdf |
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks / Motetti, Beatrice Alessandra; Risso, Matteo; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - In: IEEE TRANSACTIONS ON COMPUTERS. - ISSN 0018-9340. - ELETTRONICO. - 73:11(2024), pp. 2619-2633. [10.1109/tc.2024.3449084] | 1-gen-2024 | Motetti, Beatrice AlessandraRisso, MatteoBurrello, AlessioMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele | Arxiv_Joint_Pruning_and_Channel-wise_Mixed-Precision_Quantization_for_Efficient_Deep_Neural_Networks.pdf; Joint_Pruning_and_Channel-Wise_Mixed-Precision_Quantization_for_Efficient_Deep_Neural_Networks.pdf |
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs / Cereda, Elia; Crupi, Luca; Risso, Matteo; Burrello, Alessio; Benini, Luca; Giusti, Alessandro; Jahier Pagliari, Daniele; Palossi, Daniele. - ELETTRONICO. - (2023), pp. 6065-6071. (Intervento presentato al convegno 2023 IEEE International Conference on Robotics and Automation (ICRA) tenutosi a London (UK) nel 29 May 2023 - 02 June 2023) [10.1109/ICRA48891.2023.10160369]. | 1-gen-2023 | Risso, MatteoBurrello, AlessioBenini, LucaJahier Pagliari, Daniele + | 2303.01931.pdf; Deep_Neural_Network_Architecture_Search_for_Accurate_Visual_Pose_Estimation_aboard_Nano-UAVs.pdf |
Designing Logic Tensor Networks for Visual Sudoku puzzle classification / Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; Delrio, Federico; DI GIACOMO, Giuseppe; Eiraudo, Simone; Ghione, Giorgia; Giudice, Rocco; Koudounas, Alkis; Piano, Luca; REGE CAMBRIN, Daniele; Risso, Matteo; Rondina, Marco; Russo, ALESSANDRO SEBASTIAN; Russo, Marco; Taioli, Francesco; Vaiani, Lorenzo; Vercellino, Chiara. - ELETTRONICO. - 3432:(2023), pp. 223-232. (Intervento presentato al convegno 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023) tenutosi a Certosa di Pontignano, Siena (Italia) nel July 3-5, 2023). | 1-gen-2023 | Lia MorraAlberto AzzariLetizia BergamascoMarco BragaLuigi CapogrossoFederico DelrioGiuseppe Di GiacomoSimone EiraudoGiorgia GhioneRocco GiudiceAlkis KoudounasLuca PianoDaniele Rege CambrinMatteo RissoMarco RondinaAlessandro RussoMarco RussoFrancesco TaioliLorenzo VaianiChiara Vercellino | NeSy_workshop_Visual_Sudoku.pdf; paper19.pdf |
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation / Burrello, Alessio; Risso, Matteo; Tomasello, Noemi; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - ELETTRONICO. - (2023). (Intervento presentato al convegno Design, Automation & Test in Europe Conference & Exhibition (DATE) tenutosi a Antwerp (Belgium) nel 17-19 April 2023) [10.23919/DATE56975.2023.10137129]. | 1-gen-2023 | Alessio BurrelloMatteo RissoYukai ChenLuca BeniniEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | Energy-efficient_Wearable-to-Mobile_Offload_of_ML_Inference_for_PPG-based_Heart-Rate_Estimation.pdf; DATE23___PPGCollaborative__arxiv_.pdf |
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge / Risso, Matteo; Burrello, Alessio; Conti, Francesco; Lamberti, Lorenzo; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - In: IEEE TRANSACTIONS ON COMPUTERS. - ISSN 0018-9340. - ELETTRONICO. - 72:3(2023), pp. 744-758. [10.1109/TC.2022.3177955] | 1-gen-2023 | Matteo RissoAlessio BurrelloYukai ChenLuca BeniniEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | pit_journal.pdf; Lightweight_Neural_Architecture_Search_for_Temporal_Convolutional_Networks_at_the_Edge.pdf |
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization / Jahier Pagliari, Daniele; Risso, Matteo; Motetti, Beatrice; Burrello, Alessio. - ELETTRONICO. - (2023), pp. 1-8. (Intervento presentato al convegno Forum for Specification and Design Languages (FDL) tenutosi a Turin (Italy) nel September 13-15, 2023) [10.1109/FDL59689.2023.10272045]. | 1-gen-2023 | Jahier Pagliari, DanieleRisso, MatteoMotetti, BeatriceBurrello, Alessio | 2307.09488.pdf; PLiNIO_A_User-Friendly_Library_of_Gradient-Based_Methods_for_Complexity-Aware_DNN_Optimization.pdf |
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference / Risso, Matteo; Burrello, Alessio; Maria Sarda, Giuseppe; Benini, Luca; Macii, Enrico; Poncino, Massimo; Verhelst, Marian; JAHIER PAGLIARI, Daniele. - ELETTRONICO. - (2023), pp. 1-6. (Intervento presentato al convegno International Symposium on Low Power Electronics and Design (ISLPED) 2023 tenutosi a Vienna (AUT) nel 07-08 August 2023) [10.1109/ISLPED58423.2023.10244311]. | 1-gen-2023 | Matteo RissoAlessio BurrelloLuca BeniniEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | ISLPED23___ODiMO__arXiv_.pdf; 135_Final_Manuscript (1).pdf; Precision-aware_Latency_and_Energy_Balancing_on_Multi-Accelerator_Platforms_for_DNN_Inference.pdf |
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes / Risso, M.; Burrello, A.; Benini, L.; Macii, E.; Poncino, M.; Jahier Pagliari, D.. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno 13th IEEE International Green and Sustainable Computing Conference, IGSC 2022 tenutosi a Pittsburgh, PA, USA nel 2022) [10.1109/IGSC55832.2022.9969373]. | 1-gen-2022 | Risso M.Burrello A.Macii E.Poncino M.Jahier Pagliari D. + | Multi_precision_NAS__Camera_Ready_.pdf; Risso_et_al_2022_Channel-wise_Mixed-precision_Assignment_for_DNN_Inference_on_Constrained_Edge.pdf |
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring / Burrello, Alessio; JAHIER PAGLIARI, Daniele; Maria Rapa, Pierangelo; Semilia, Matilde; Risso, Matteo; Polonelli, Tommaso; Poncino, Massimo; Benini, Luca; Benatti, Simone. - In: ACM TRANSACTIONS ON COMPUTING FOR HEALTHCARE. - ISSN 2691-1957. - 3:2(2022), pp. 1-25. [10.1145/3487910] | 1-gen-2022 | Alessio BurrelloDaniele Jahier PagliariMatteo RissoMassimo PoncinoLuca Benini + | actppg_journal.pdf; actppg_open.pdf |
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks / Risso, Matteo; Burrello, Alessio; Benini, Luca; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno ACM/IEEE International Symposium on Low Power Electronics and Design tenutosi a Boston (USA) nel August 1 - 3, 2022) [10.1145/3531437.3539720]. | 1-gen-2022 | Risso, MatteoBurrello, AlessioBenini, LucaMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele | ispled.pdf; ispled_open.pdf |
Pruning in Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks / Risso, M.; Burrello, A.; JAHIER PAGLIARI, Daniele; Conti, F.; Lamberti, L.; Macii, E.; Benini, L.; Poncino, M.. - ELETTRONICO. - 2021 58th ACM/IEEE Design Automation Conference (DAC):(2021), pp. 1015-1020. (Intervento presentato al convegno 58th ACM/IEEE Design Automation Conference, DAC 2021 tenutosi a USA nel 2021) [10.1109/DAC18074.2021.9586187]. | 1-gen-2021 | Risso M.Burrello A.Pagliari Jahier DanieleMacIi E.Poncino M. + | Pruning_In_Time_PIT_A_Lightweight_Network_Architecture_Optimizer_for_Temporal_Convolutional_Networks.pdf; pit_open.pdf |
Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices / Burrello, A.; JAHIER PAGLIARI, Daniele; Risso, M.; Benatti, S.; Macii, E.; Benini, L.; Poncino, M.. - In: IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS. - ISSN 1932-4545. - ELETTRONICO. - 15:6(2021), pp. 1196-1209. [10.1109/TBCAS.2021.3122017] | 1-gen-2021 | Burrello A.Pagliari Jahier DanieleRisso M.MacIi E.Benini L.Poncino M. + | Q-PPG_Energy-Efficient_PPG-Based_Heart_Rate_Monitoring_on_Wearable_Devices.pdf |
Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring / Risso, Matteo; Burrello, Alessio; Jahier Pagliari, Daniele; Benatti, Simone; Macii, Enrico; Benini, Luca; Poncino, Massimo. - ELETTRONICO. - (2021), pp. 1-5. (Intervento presentato al convegno 2021 IEEE International Symposium on Circuits and Systems (ISCAS) tenutosi a Daegu (Korea) nel 22-28 May 2021) [10.1109/ISCAS51556.2021.9401282]. | 1-gen-2021 | Risso, MatteoBurrello, AlessioJahier Pagliari, DanieleMacii, EnricoPoncino, Massimo + | Robust_and_Energy-Efficient_PPG-Based_Heart-Rate_Monitoring.pdf |