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MOTETTI, BEATRICE ALESSANDRA
Dipartimento di Automatica e Informatica
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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
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices
2023 Burrello, Alessio; Risso, Matteo; Motetti, BEATRICE ALESSANDRA; Macii, Enrico; Benini, Luca; 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
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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. - 1:(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). | 1-gen-2024 | Motetti, Beatrice AlessandraRisso, MatteoJahier Pagliari, DanieleBurrello, Alessio + | - |
| 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. - (2023), pp. 1-15. [10.1109/TETC.2023.3322033] | 1-gen-2023 | 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 |
| 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 |