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


Mar 03, 2023
Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi

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* \c{opyright} 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge


Jan 24, 2023
Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

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* Accepted for publication at the IEEE Transactions on Computers 

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Multi-Head Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation


Oct 14, 2022
Panagiotis Kasnesis, Lazaros Toumanidis, Alessio Burrello, Christos Chatzigeorgiou, Charalampos Z. Patrikakis

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* To be submitted to IEEE ICASSP 2023 

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Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks


Sep 02, 2022
Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

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* ACM Transactions on Embededded Computing Systems, Vol 21, Issue 4, Article 46 (July 2022), 28 pages 

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


Jun 17, 2022
Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

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


Jun 01, 2022
Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

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* Accepted for publication at the ISLPED 2022 ACM/IEEE International Symposium on Low Power Electronics and Design 

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Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers


May 27, 2022
Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

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* 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021, pp. 1-6 
* Published in: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021 

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Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors


May 25, 2022
Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino

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* 18th ACM International Conference on Computing Frontiers (CF), 2021, pp. 3-11 
* Published in: 2021 18th ACM International Conference on Computing Frontiers (CF) 

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Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence


Apr 07, 2022
Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino

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* 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2020, pp. 1-4 
* Published in: 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS) 

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


Mar 28, 2022
Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino

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* 2021 58th ACM/IEEE Design Automation Conference (DAC), 2021, pp. 1015-1020 

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