publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

  1. Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration
    Mahyar Pourjabar, Manuele Rusci, Luca Bompani, and 4 more authors
    arXiv preprint arXiv:2312.13086, 2023
  2. On-device Customization of Tiny Deep Learning Models for Keyword Spotting with Few Examples
    Manuele Rusci, and Tinne Tuytelaars
    IEEE Micro, 2023
  3. Parallel Execution of the Viola-Jones Algorithm on MCUs for Low-Cost Automated Pest Detection
    Manuele Rusci, Luca Bompani, Olmo Baldoni, and 3 more authors
    In 2023 IEEE Conference on AgriFood Electronics (CAFE), 2023
  4. Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization
    Mahyar Pourjabar, Ahmed AlKatheeri, Manuele Rusci, and 5 more authors
    In 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2023
  5. Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers
    Davide Nadalini, Manuele Rusci, Luca Benini, and 1 more author
    Future Generation Computer Systems, 2023
  6. Bio-inspired autonomous exploration policies with cnn-based object detection on nano-drones
    Lorenzo Lamberti, Luca Bompani, Victor Javier Kartsch, and 3 more authors
    In 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023
  7. Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems
    Manuele Rusci, and Tinne Tuytelaars
    In Proc. Interspeech, 2023

2022

  1. Accelerating RNN-Based Speech Enhancement on a Multi-core MCU with Mixed FP16-INT8 Post-training Quantization
    Manuele Rusci, Marco Fariselli, Martin Croome, and 2 more authors
    In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2022
  2. PULP-TrainLib: Enabling on-device training for RISC-V multi-core MCUs through performance-driven Autotuning
    Davide Nadalini, Manuele Rusci, Giuseppe Tagliavini, and 3 more authors
    In International Conference on Embedded Computer Systems, 2022
  3. Towards on-device domain adaptation for noise-robust keyword spotting
    Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, and 2 more authors
    In 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022

2021

  1. A tinyml platform for on-device continual learning with quantized latent replays
    Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, and 3 more authors
    IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2021
  2. Integer-only approximated MFCC for ultra-low power audio NN processing on multi-core MCUs
    Marco Fariselli, Manuele Rusci, Joel Cambonie, and 1 more author
    In 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021
  3. Low-power license plate detection and recognition on a risc-v multi-core mcu-based vision system
    Lorenzo Lamberti, Manuele Rusci, Marco Fariselli, and 2 more authors
    In 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021
  4. Robustifying the deployment of tinyml models for autonomous mini-vehicles
    Miguel Prado, Manuele Rusci, Alessandro Capotondi, and 3 more authors
    Sensors, 2021

2020

  1. Memory-latency-accuracy trade-offs for continual learning on a risc-v extreme-edge node
    Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, and 5 more authors
    In 2020 IEEE Workshop on Signal Processing Systems (SiPS), 2020
  2. Event-based power manager
    Jose de Jesus Pineda De Gyvez, Hamed Fatemi, Manuele Rusci, and 3 more authors
    Aug 2020
    US Patent 10,732,698
  3. CMix-NN: Mixed low-precision CNN library for memory-constrained edge devices
    Alessandro Capotondi, Manuele Rusci, Marco Fariselli, and 1 more author
    IEEE Transactions on Circuits and Systems II: Express Briefs, Aug 2020
  4. Memory-driven mixed low precision quantization for enabling deep network inference on microcontrollers
    Manuele Rusci, Alessandro Capotondi, and Luca Benini
    Proceedings of Machine Learning and Systems, Aug 2020
    Code
  5. BrightNet: A deep CNN for OLED-based point of care immunofluorescent diagnostic systems
    Andrea Samore, Manuele Rusci, Damiana Lazzaro, and 3 more authors
    IEEE Transactions on Instrumentation and Measurement, Aug 2020
  6. PULP-NN: accelerating quantized neural networks on parallel ultra-low-power RISC-V processors
    Angelo Garofalo, Manuele Rusci, Francesco Conti, and 2 more authors
    Philosophical Transactions of the Royal Society A, Aug 2020
  7. Leveraging automated mixed-low-precision quantization for tiny edge microcontrollers
    Manuele Rusci, Marco Fariselli, Alessandro Capotondi, and 1 more author
    In IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning: Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers 2, Aug 2020
  8. The memory challenge in ultra-low power deep learning
    Francesco Conti, Manuele Rusci, and Luca Benini
    NANO-CHIPS 2030: On-Chip AI for an Efficient Data-Driven World, Aug 2020
  9. An energy optimized jpeg encoder for parallel ultra-low-power processing-platforms
    Tommaso Polonelli, Daniele Battistini, Manuele Rusci, and 2 more authors
    In Applications in Electronics Pervading Industry, Environment and Society: APPLEPIES 2019 7, Aug 2020

2018

  1. Work-in-progress: Quantized nns as the definitive solution for inference on low-power arm mcus?
    Manuele Rusci, Alessandro Capotondi, Francesco Conti, and 1 more author
    In 2018 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ ISSS), Aug 2018
  2. Design automation for binarized neural networks: A quantum leap opportunity?
    Manuele Rusci, Lukas Cavigelli, and Luca Benini
    In 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Aug 2018
  3. Always-ON visual node with a hardware-software event-based binarized neural network inference engine
    Manuele Rusci, Davide Rossi, Eric Flamand, and 3 more authors
    In Proceedings of the 15th ACM International Conference on Computing Frontiers, Aug 2018

2017

  1. Technologies for a thing-centric internet of things
    Elisabetta Farella, Manuele Rusci, Bojan Milosevic, and 1 more author
    In 2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud), Aug 2017
  2. A sub-mW IoT-endnode for always-on visual monitoring and smart triggering
    Manuele Rusci, Davide Rossi, Elisabetta Farella, and 1 more author
    IEEE Internet of Things Journal, Aug 2017

2016

  1. Energy-efficient design of an always-on smart visual trigger
    Manuele Rusci, Davide Rossi, Michela Lecca, and 3 more authors
    In 2016 IEEE International Smart Cities Conference (ISC2), Aug 2016
  2. An event-driven ultra-low-power smart visual sensor
    Manuele Rusci, Davide Rossi, Michela Lecca, and 3 more authors
    IEEE Sensors Journal, Aug 2016