Luca Zanatta

According to our database, Luca Zanatta authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning.

Francesco Barchi, Emanuele Parisi, Luca Zanatta, Andrea Bartolini, Andrea Acquaviva

Neural Comput. Appl., October, 2024

Foundation Models for Structural Health Monitoring.

Luca Benfenati, Daniele Jahier Pagliari, Luca Zanatta, Yhorman Alexander Bedoya Velez, Andrea Acquaviva, Massimo Poncino, Enrico Macii, Luca Benini, Alessio Burrello

CoRR, 2024

Towards Nano-Drones Agile Flight Using Deep Reinforcement Learning.

Sebastiano Mengozzi, Luca Zanatta, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024

NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores.

Simone Manoni, Paul Scheffler, Alfio Di Mauro, Luca Zanatta, Andrea Acquaviva, Luca Benini, Andrea Bartolini

Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024

2023

Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator.

Luca Zanatta, Alfio Di Mauro, Francesco Barchi, Andrea Bartolini, Luca Benini, Andrea Acquaviva

Neurocomputing, December, 2023

Event-Based Classification of Defects in Civil Infrastructures with Artificial and Spiking Neural Networks.

Udayanga K. N. G. W. Gamage, Luca Zanatta, Matteo Fumagalli, Cesar Cadena, Silvia Tolu

Proceedings of the Advances in Computational Intelligence, 2023

2022

Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance.

Luca Zanatta, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021

Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring.

Francesco Barchi, Luca Zanatta, Emanuele Parisi, Alessio Burrello, Davide Brunelli, Andrea Bartolini, Andrea Acquaviva

Future Internet, 2021

Damage Detection in Structural Health Monitoring with Spiking Neural Networks.

Luca Zanatta, Francesco Barchi, Alessio Burrello, Andrea Bartolini, Davide Brunelli, Andrea Acquaviva

Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021