Lorenzo De Marinis

According to our database, Lorenzo De Marinis authored at least 23 papers between 2019 and 2024.

Collaborative distances:

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

2024

In-Line Any-Depth Deep Neural Networks Using P4 Switches.

Emilio Paolini, Lorenzo De Marinis, Davide Scano, Francesco Paolucci

IEEE Open J. Commun. Soc., 2024

FTG-Net-E: A hierarchical ensemble graph neural network for DDoS attack detection.

Rana Abu Bakar, Lorenzo De Marinis, Filippo Cugini, Francesco Paolucci

Comput. Networks, 2024

Optimizing Deep Learning-Based Failure Management in Optical Networks by Monitoring Relative Neural Activity.

Lareb Zar Khan, João Pedro, Omran Ayoub, Nelson Costa, Andrea Sgambelluri, Lorenzo De Marinis, Antonio Napoli, Nicola Sambo

Proceedings of the International Conference on Optical Network Design and Modeling, 2024

Solutions to Increase Energy Efficiency of Optical Networks.

Nicola Sambo, Filippo Cugini, Lorenzo De Marinis, Piero Castoldi

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

Activation Stretching for Tackling Noise in Photonic Aware Neural Networks.

Emilio Paolini, Lorenzo De Marinis, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

2023

Maximizing team synergy in AI-related interdisciplinary groups: an interdisciplinary-by-design iterative methodology.

Piercosma Bisconti, Davide Orsitto, Federica Fedorczyk, Fabio Brau, Marianna Capasso, Lorenzo De Marinis, Hüseyin Eken, Federica Merenda, Mirko Forti, Marco Pacini, Claudia Schettini

AI Soc., August, 2023

CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks.

Emilio Paolini, Lorenzo De Marinis, Luca Maggiani, Marco Cococcioni, Nicola Andriolli

Neural Networks, May, 2023

Data augmentation to improve performance of neural networks for failure management in optical networks.

Lareb Zar Khan, João Pedro, Nelson Costa, Lorenzo De Marinis, Antonio Napoli, Nicola Sambo

JOCN, 2023

Telemetry and AI-based security P4 applications for optical networks [Invited].

Filippo Cugini, Davide Scano, Alessio Giorgetti, Andrea Sgambelluri, Lorenzo De Marinis, Piero Castoldi, Francesco Paolucci

JOCN, 2023

Validation of Photonic Neural Networks in Health Scenarios.

Emilio Paolini, Lorenzo De Marinis, Giampiero Contestabile, S. Gupta, Luca Maggiani, Nicola Andriolli

Proceedings of the International Conference on Photonics in Switching and Computing, 2023

Graphene-Based Photonic-Electronic Multiply-Accumulate Neurons.

Lorenzo De Marinis, P. S. Kincaid, Giampiero Contestabile, S. Gupta, Nicola Andriolli

Proceedings of the International Conference on Photonics in Switching and Computing, 2023

Source Device Independent Quantum Random Number Generator with Integrated InP Photonics.

P. S. Kincaid, Lorenzo De Marinis, Alberto Montanaro, A. Santamato, Nicola Andriolli, Giampiero Contestabile

Proceedings of the International Conference on Photonics in Switching and Computing, 2023

FTG-Net: Hierarchical Flow-to-Traffic Graph Neural Network for DDoS Attack Detection.

Luca Barsellotti, Lorenzo De Marinis, Filippo Cugini, Francesco Paolucci

Proceedings of the 24th IEEE International Conference on High Performance Switching and Routing, 2023

Cascaded Look Up Table Distillation of P4 Deep Neural Network Switches.

Lorenzo De Marinis, Emilio Paolini, Rana Abu Bakar, Filippo Cugini, Francesco Paolucci

Proceedings of the IEEE Global Communications Conference, 2023

2022

Photonic-aware neural networks.

Emilio Paolini, Lorenzo De Marinis, Marco Cococcioni, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli

Neural Comput. Appl., 2022

Accelerating Pooling Layers in Photonic Convolutional Neural Networks.

Emilio Paolini, Lorenzo De Marinis, Luca Maggiani, Nicola Andriolli

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

Photonic-Aware Neural Network: a fixed-point emulation of photonic hardware.

Emilio Paolini, Lorenzo De Marinis, Marco Cococcioni, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

A Lithium Niobate on Insulator Based Photonic Neural Network.

Lorenzo De Marinis, Giampiero Contestabile, Nicola Andriolli

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

Photonic-aware Neural Networks for Packet Classification in Beyond 5G Networks.

Emilio Paolini, Federico Civerchia, Lorenzo De Marinis, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli

Proceedings of the 13th International Conference on Network of the Future, 2022

Photonic-aware Neural Networks for Packet Classification in URLLC scenarios.

Emilio Paolini, Federico Civerchia, Lorenzo De Marinis, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli

Proceedings of the 23rd IEEE International Conference on High Performance Switching and Routing, 2022

2021

Demonstration of P4 Neural Network Switch.

Francesco Paolucci, Lorenzo De Marinis, Piero Castoldi, Filippo Cugini

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

A Silicon Nitride Reconfigurable Linear Optical Processor.

Lorenzo De Marinis, Giampiero Contestabile, Piero Castoldi, Nicola Andriolli

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

2019

Photonic Neural Networks: A Survey.

Lorenzo De Marinis, Marco Cococcioni, Piero Castoldi, Nicola Andriolli

IEEE Access, 2019