Energy-efficient design of an always-on smart visual trigger. - Manuele Rusci; Davide Rossi; Michela Lecca; Massimo Gottardi; Luca Benini; Elisabetta Farella (ISC2, 2016)

Technologies for a Thing-Centric Internet of Things. - Elisabetta Farella; Manuele Rusci; Bojan Milosevic; Amy L. Murphy (FiCloud, 2017)

A Sub-mW IoT-Endnode for Always-On Visual Monitoring and Smart Triggering. - Manuele Rusci; Davide Rossi; Elisabetta Farella; Luca Benini (IEEE Internet Things J., 2017)

Always-ON visual node with a hardware-software event-based binarized neural network inference engine. - Manuele Rusci; Davide Rossi; Eric Flamand; Massimo Gottardi; Elisabetta Farella; Luca Benini (CF, 2018)

Quantized NNs as the definitive solution for inference on low-power ARM MCUs?: work-in-progress. - Manuele Rusci; Alessandro Capotondi; Francesco Conti 001; Luca Benini (CODES+ISSS, 2018)

Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? - Manuele Rusci; Lukas Cavigelli; Luca Benini (ISCAS, 2018)

An Energy Optimized JPEG Encoder for Parallel Ultra-Low-Power Processing-Platforms. - Tommaso Polonelli; Daniele Battistini; Manuele Rusci; Davide Brunelli; Luca Benini (ApplePies, 2019)

PULP-NN: A Computing Library for Quantized Neural Network inference at the edge on RISC-V Based Parallel Ultra Low Power Clusters. - Angelo Garofalo; Manuele Rusci; Francesco Conti 001; Davide Rossi; Luca Benini (ICECS, 2019)

PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors. - Angelo Garofalo; Manuele Rusci; Francesco Conti 001; Davide Rossi; Luca Benini (CoRR, 2019)

Memory-Driven Mixed Low Precision Quantization for Enabling Deep Network Inference on Microcontrollers. - Manuele Rusci; Alessandro Capotondi; Luca Benini (MLSys, 2020)

Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers. - Manuele Rusci; Marco Fariselli; Alessandro Capotondi; Luca Benini (IoT Streams/ITEM@PKDD/ECML, 2020)

Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. - Leonardo Ravaglia; Manuele Rusci; Alessandro Capotondi; Francesco Conti 001; Lorenzo Pellegrini; Vincenzo Lomonaco; Davide Maltoni; Luca Benini (SiPS, 2020)

Robust navigation with tinyML for autonomous mini-vehicles. - Miguel de Prado; Romain Donze; Alessandro Capotondi; Manuele Rusci; Serge Monnerat; Luca Benini; Nuria Pazos (CoRR, 2020)

CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices. - Alessandro Capotondi; Manuele Rusci; Marco Fariselli; Luca Benini (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

BrightNet: A Deep CNN for OLED-Based Point of Care Immunofluorescent Diagnostic Systems. - Andrea Samore; Manuele Rusci; Damiana Lazzaro; Patrizia Melpignano; Luca Benini; Serena Morigi (IEEE Trans. Instrum. Meas., 2020)

Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs. - Marco Fariselli; Manuele Rusci; Joel Cambonie; Eric Flamand (AICAS, 2021)

Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System. - Lorenzo Lamberti; Manuele Rusci; Marco Fariselli; Francesco Paci; Luca Benini (ISCAS, 2021)

Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. - Miguel de Prado; Manuele Rusci; Romain Donze; Alessandro Capotondi; Serge Monnerat; Luca Benini; Nuria Pazos (ISCAS, 2021)

A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays. - Leonardo Ravaglia; Manuele Rusci; Davide Nadalini; Alessandro Capotondi; Francesco Conti 001; Luca Benini (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. - Miguel de Prado; Manuele Rusci; Alessandro Capotondi; Romain Donze; Luca Benini; Nuria Pazos (Sensors, 2021)

Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting. - Cristian Cioflan; Lukas Cavigelli; Manuele Rusci; Miguel de Prado; Luca Benini (AICAS, 2022)

Accelerating RNN-Based Speech Enhancement on a Multi-core MCU with Mixed FP16-INT8 Post-training Quantization. - Manuele Rusci; Marco Fariselli; Martin Croome; Francesco Paci; Eric Flamand (PKDD/ECML Workshops (1), 2022)

PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning. - Davide Nadalini; Manuele Rusci; Giuseppe Tagliavini; Leonardo Ravaglia; Luca Benini; Francesco Conti 001 (SAMOS, 2022)

Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones. - Lorenzo Lamberti; Luca Bompani; Victor Javier Kartsch; Manuele Rusci; Daniele Palossi; Luca Benini (DATE, 2023)

Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization. - Mahyar Pourjabar; Ahmed AlKatheeri; Manuele Rusci; Agata Barcis; Vlad Niculescu; Eliseo Ferrante; Daniele Palossi; Luca Benini (DCOSS-IoT, 2023)

Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration. - Mahyar Pourjabar; Manuele Rusci; Luca Bompani; Lorenzo Lamberti; Vlad Niculescu; Daniele Palossi; Luca Benini (ICECS, 2023)

Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems. - Manuele Rusci; Tinne Tuytelaars (INTERSPEECH, 2023)

On-Device Customization of Tiny Deep Learning Models for Keyword Spotting With Few Examples. - Manuele Rusci; Tinne Tuytelaars (IEEE Micro, 2023)

Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers. - Davide Nadalini; Manuele Rusci; Luca Benini; Francesco Conti 001 (Future Gener. Comput. Syst., 2023)

On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. - Cristian Cioflan; Lukas Cavigelli; Manuele Rusci; Miguel de Prado; Luca Benini (AICAS, 2024)

Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems. - Luca Bompani; Manuele Rusci; Daniele Palossi; Francesco Conti 001; Luca Benini (CVPR Workshops, 2024)

Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units. - Francesco Paissan; Davide Nadalini; Manuele Rusci; Alberto Ancilotto; Francesco Conti 001; Luca Benini; Elisabetta Farella (CVPR Workshops, 2024)

On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors. - Elia Cereda; Manuele Rusci; Alessandro Giusti; Daniele Palossi (ICRA, 2024)

Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors. - Manuele Rusci; Francesco Paci; Marco Fariselli; Eric Flamand; Tinne Tuytelaars (CoRR, 2024)

Self-Incremental Training for Personalized Voice Command Recognition in a Wireless Audio Sensor Network. - Manuele Rusci; Hugo Van hamme; Tinne Tuytelaars (ICASSP, 2025)

Self-Learning for Personalized Keyword Spotting on Ultralow-Power Audio Sensors. - Manuele Rusci; Francesco Paci; Marco Fariselli; Eric Flamand; Tinne Tuytelaars (IEEE Internet Things J., 2025)