Discriminative Deep Audio Feature Embedding for Speaker Recognition in the Wild. - Simone Bianco 001; Elia Cereda; Paolo Napoletano (ICCE-Berlin, 2018)

Improving the Generalization Capability of DNNs for Ultra-low Power Autonomous Nano-UAVs. - Elia Cereda; Marco Ferri; Dario Mantegazza; Nicky Zimmerman; Luca Maria Gambardella; Jérôme Guzzi; Alessandro Giusti; Daniele Palossi (DCOSS, 2021)

Learning Relative Interactions through Imitation. - Giorgia Adorni; Elia Cereda (CoRR, 2021)

Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization. - Marco Ferri; Dario Mantegazza; Elia Cereda; Nicky Zimmerman; Luca Maria Gambardella; Daniele Palossi; Jérôme Guzzi; Alessandro Giusti (CoRR, 2021)

A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract). - Eiman AlNuaimi; Elia Cereda; Rafail Psiakis; Suresh Sugumar; Alessandro Giusti; Daniele Palossi (AAAI, 2022)

Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones. - Elia Cereda; Alessandro Giusti; Daniele Palossi (EWSN, 2023)

Ultra-low Power Deep Learning-based Monocular Relative Localization Onboard Nano-quadrotors. - Stefano Bonato; Stefano Carlo Lambertenghi; Elia Cereda; Alessandro Giusti; Daniele Palossi (ICRA, 2023)

Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. - Elia Cereda; Luca Crupi; Matteo Risso; Alessio Burrello; Luca Benini; Alessandro Giusti; Daniele Jahier Pagliari; Daniele Palossi (ICRA, 2023)

Sim-to-Real Vision-Depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopters. - Luca Crupi; Elia Cereda; Alessandro Giusti; Daniele Palossi (IROS, 2023)

Sim-to-Real Vision-depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopter. - Luca Crupi; Elia Cereda; Alessandro Giusti; Daniele Palossi (CoRR, 2023)

Fusing Multi-sensor Input with State Information on TinyML Brains for Autonomous Nano-drones. - Luca Crupi; Elia Cereda; Daniele Palossi (ERF (1), 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)

A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing. - Lorenzo Lamberti; Elia Cereda; Gabriele Abbate; Lorenzo Bellone; Victor Javier Kartsch Morinigo; Michal Barcis; Agata Barcis; Alessandro Giusti; Francesco Conti 001; Daniele Palossi (IEEE Robotics Autom. Lett., 2024)

Vision-state Fusion: Improving Deep Neural Networks for Autonomous Robotics. - Elia Cereda; Stefano Bonato; Mirko Nava; Alessandro Giusti; Daniele Palossi (J. Intell. Robotic Syst., 2024)

Corrections to "a Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing". - Lorenzo Lamberti; Elia Cereda; Gabriele Abbate; Lorenzo Bellone; Victor Javier Kartsch Morinigo; Michal Barcis; Agata Barcis; Alessandro Giusti; Francesco Conti 001; Daniele Palossi (IEEE Robotics Autom. Lett., 2024)

Training on the Fly: On-Device Self-Supervised Learning Aboard Nano-Drones Within 20 mW. - Elia Cereda; Alessandro Giusti; Daniele Palossi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)