Photonic Neural Networks: A Survey. - Lorenzo De Marinis; Marco Cococcioni; Piero Castoldi; Nicola Andriolli (IEEE Access, 2019)

A Silicon Nitride Reconfigurable Linear Optical Processor. - Lorenzo De Marinis; Giampiero Contestabile; Piero Castoldi; Nicola Andriolli (OFC, 2021)

Demonstration of P4 Neural Network Switch. - Francesco Paolucci; Lorenzo De Marinis; Piero Castoldi; Filippo Cugini (OFC, 2021)

Photonic-aware Neural Networks for Packet Classification in URLLC scenarios. - Emilio Paolini; Federico Civerchia; Lorenzo De Marinis; Luca Valcarenghi; Luca Maggiani; Nicola Andriolli (HPSR, 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 (NoF, 2022)

A Lithium Niobate on Insulator Based Photonic Neural Network. - Lorenzo De Marinis; Giampiero Contestabile; Nicola Andriolli (OECC/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 (OECC/PSC, 2022)

Accelerating Pooling Layers in Photonic Convolutional Neural Networks. - Emilio Paolini; Lorenzo De Marinis; Luca Maggiani; Nicola Andriolli (OECC/PSC, 2022)

Photonic-aware neural networks. - Emilio Paolini; Lorenzo De Marinis; Marco Cococcioni; Luca Valcarenghi; Luca Maggiani; Nicola Andriolli (Neural Comput. Appl., 2022)

Cascaded Look Up Table Distillation of P4 Deep Neural Network Switches. - Lorenzo De Marinis; Emilio Paolini; Rana Abu Bakar; Filippo Cugini; Francesco Paolucci (GLOBECOM, 2023)

FTG-Net: Hierarchical Flow-to-Traffic Graph Neural Network for DDoS Attack Detection. - Luca Barsellotti; Lorenzo De Marinis; Filippo Cugini; Francesco Paolucci (HPSR, 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 (PSC, 2023)

Graphene-Based Photonic-Electronic Multiply-Accumulate Neurons. - Lorenzo De Marinis; P. S. Kincaid; Giampiero Contestabile; S. Gupta; Nicola Andriolli (PSC, 2023)

Validation of Photonic Neural Networks in Health Scenarios. - Emilio Paolini; Lorenzo De Marinis; Giampiero Contestabile; S. Gupta; Luca Maggiani; Nicola Andriolli (PSC, 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)

Data augmentation to improve performance of neural networks for failure management in optical networks. - Lareb Zar Khan; João Pedro 001; Nelson Costa; Lorenzo De Marinis; Antonio Napoli; Nicola Sambo (JOCN, 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, 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., 2023)

Activation Stretching for Tackling Noise in Photonic Aware Neural Networks. - Emilio Paolini; Lorenzo De Marinis; Luca Valcarenghi; Luca Maggiani; Nicola Andriolli (OFC, 2024)

Solutions to Increase Energy Efficiency of Optical Networks. - Nicola Sambo; Filippo Cugini; Lorenzo De Marinis; Piero Castoldi (OFC, 2024)

Optimizing Deep Learning-Based Failure Management in Optical Networks by Monitoring Relative Neural Activity. - Lareb Zar Khan; João Pedro 001; Omran Ayoub; Nelson Costa; Andrea Sgambelluri; Lorenzo De Marinis; Antonio Napoli; Nicola Sambo (ONDM, 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)

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)

A Silicon Photonic 32-Input Coherent Combiner for Turbulence Mitigation in Free Space Optics Links. - Lorenzo De Marinis; Peter Seigo Kincaid; Yann Lucas; Lea Krafft; Vincent Michau; Matteo Cherchi; Mikko Karppinen; Giampiero Contestabile (IEEE Access, 2025)