| PULP-NN: Accelerating quantized neural networks on parallel ultra-low-power RISC-V processors A Garofalo, M Rusci, F Conti, D Rossi, L Benini Philosophical Transactions of the Royal Society A 378 (2164), 20190155, 2020 | 185 | 2020 |
| CMix-NN: Mixed low-precision CNN library for memory-constrained edge devices A Capotondi, M Rusci, M Fariselli, L Benini IEEE Transactions on Circuits and Systems II: Express Briefs 67 (5), 871-875, 2020 | 158 | 2020 |
| Memory-driven mixed low precision quantization for enabling deep network inference on microcontrollers M Rusci, A Capotondi, L Benini Proceedings of Machine Learning and Systems 2, 326-335, 2020 | 101 | 2020 |
| A tinyml platform for on-device continual learning with quantized latent replays L Ravaglia, M Rusci, D Nadalini, A Capotondi, F Conti, L Benini IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11 (4 …, 2021 | 86 | 2021 |
| Robustifying the deployment of tinyml models for autonomous mini-vehicles M de Prado, M Rusci, A Capotondi, R Donze, L Benini, N Pazos Sensors 21 (4), 1339, 2021 | 58 | 2021 |
| An event-driven ultra-low-power smart visual sensor M Rusci, D Rossi, M Lecca, M Gottardi, E Farella, L Benini IEEE Sensors Journal 16 (13), 5344-5353, 2016 | 53 | 2016 |
| Pulp-nn: A computing library for quantized neural network inference at the edge on risc-v based parallel ultra low power clusters A Garofalo, M Rusci, F Conti, D Rossi, L Benini 2019 26th IEEE International Conference on Electronics, Circuits and Systems …, 2019 | 42 | 2019 |
| A sub-mW IoT-endnode for always-on visual monitoring and smart triggering M Rusci, D Rossi, E Farella, L Benini IEEE Internet of Things Journal 4 (5), 1284-1295, 2017 | 36 | 2017 |
| Work-in-progress: Quantized nns as the definitive solution for inference on low-power arm mcus? M Rusci, A Capotondi, F Conti, L Benini 2018 International Conference on Hardware/Software Codesign and System …, 2018 | 34* | 2018 |
| Leveraging automated mixed-low-precision quantization for tiny edge microcontrollers M Rusci, M Fariselli, A Capotondi, L Benini IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020 | 30 | 2020 |
| Design automation for binarized neural networks: A quantum leap opportunity? M Rusci, L Cavigelli, L Benini 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 30 | 2018 |
| Pulp-trainlib: Enabling on-device training for risc-v multi-core mcus through performance-driven autotuning D Nadalini, M Rusci, G Tagliavini, L Ravaglia, L Benini, F Conti International Conference on Embedded Computer Systems, 200-216, 2022 | 26 | 2022 |
| Reduced precision floating-point optimization for deep neural network on-device learning on microcontrollers D Nadalini, M Rusci, L Benini, F Conti Future Generation Computer Systems 149, 212-226, 2023 | 21 | 2023 |
| Low-power license plate detection and recognition on a RISC-V multi-core MCU-based vision system L Lamberti, M Rusci, M Fariselli, F Paci, L Benini 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 19 | 2021 |
| Integer-only approximated MFCC for ultra-low power audio NN processing on multi-core MCUs M Fariselli, M Rusci, J Cambonie, E Flamand 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 15 | 2021 |
| Memory-latency-accuracy trade-offs for continual learning on a risc-v extreme-edge node L Ravaglia, M Rusci, A Capotondi, F Conti, L Pellegrini, V Lomonaco, ... 2020 IEEE Workshop on Signal Processing Systems (SiPS), 1-6, 2020 | 15 | 2020 |
| Bio-inspired autonomous exploration policies with cnn-based object detection on nano-drones L Lamberti, L Bompani, VJ Kartsch, M Rusci, D Palossi, L Benini 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 14 | 2023 |
| BrightNet: A deep CNN for OLED-based point of care immunofluorescent diagnostic systems A Samore, M Rusci, D Lazzaro, P Melpignano, L Benini, S Morigi IEEE Transactions on Instrumentation and Measurement 69 (9), 6766-6775, 2020 | 13 | 2020 |
| Towards on-device domain adaptation for noise-robust keyword spotting C Cioflan, L Cavigelli, M Rusci, M De Prado, L Benini 2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022 | 12 | 2022 |
| Always-ON visual node with a hardware-software event-based binarized neural network inference engine M Rusci, D Rossi, E Flamand, M Gottardi, E Farella, L Benini Proceedings of the 15th ACM International Conference on Computing Frontiers …, 2018 | 12 | 2018 |
Luca BeniniETH Zürich, Università di BolognaZweryfikowany adres z unibo.it
