Sfoglia per Autore
A Lithium Niobate on Insulator Based Photonic Neural Network
2022-01-01 De Marinis, L.; Contestabile, G.; Andriolli, N.
Data Augmentation to Improve Performance of Neural Networks for Failure Management in Optical Networks
2023-01-01 Khan, Lareb Zar; Pedro, João; Costa, Nelson; DE MARINIS, Lorenzo; Napoli, Antonio; Sambo, Nicola
Analysis of Integration Technologies for High-Speed Analog Neuromorphic Photonics
2023-01-01 De Marinis, Lorenzo; Andriolli, Nicola; Contestabile, Giampiero
High-performance end-to-end deep learning IM/DD link using optics-informed neural networks
2023-01-01 Roumpos, Ioannis; Marinis, Lorenzo De; Kirtas, Manos; Passalis, Nikolaos; Tefas, Anastasios; Contestabile, Giampiero; Pleros, Nikos; Moralis-Pegios, Miltiadis; Vyrsokinos, Konstantinos
CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks
2023-01-01 Paolini, Emilio; De Marinis, Lorenzo; Maggiani, Luca; Cococcioni, Marco; Andriolli, Nicola
Validation of Photonic Neural Networks in Health Scenarios
2023-01-01 Paolini, E.; De Marinis, L.; Contestabile, G.; Gupta, S.; Maggiani, L.; Andriolli, N.
Neuromorphic Photonics for Digital Signal Processing
2023-01-01 De Marinis, L.; Roumpos, I.; Andriolli, N.; Moralis-Pegios, M.; Pleros, N.; Contestabile, G.
Source Device Independent Quantum Random Number Generator with Integrated InP Photonics
2023-01-01 Kincaid, P. S.; De Marinis, L.; Montanaro, A.; Santamato, A.; Andriolli, N.; Contestabile, G.
The potential of data augmentation for failure management in optical networks
2023-01-01 Sambo, N.; Zar Khan, L.; Pedro, J.; Costa, N.; De Marinis, L.; Napoli, A.
FTG-Net: Hierarchical Flow-to-Traffic Graph Neural Network for DDoS Attack Detection
2023-01-01 Barsellotti, Luca; De Marinis, Lorenzo; Cugini, Filippo; Paolucci, Francesco
Physics-inspired End-to-End Deep Learning for High-Performance Optical Fiber Transmission Links
2023-01-01 Roumpos, I.; De Marinis, L.; Mourgias-Alexandris, G.; Kirtas, M.; Passalis, N.; Tefas, A.; Contestabile, G.; Vyrsokinos, K.; Pleros, N.; Moralis-Pegios, M.
Graphene-Based Photonic-Electronic Multiply-Accumulate Neurons
2023-01-01 De Marinis, L.; Kincaid, P. S.; Contestabile, G.; Gupta, S.; Andriolli, N.
Impact of Photonic Integration Platforms on the Performance of Neuromorphic Accelerators
2023-01-01 De Marinis, Lorenzo; Andriolli, Nicola; Gupta, Sumanta; Contestabile, Giampiero
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Lithium Niobate on Insulator Based Photonic Neural Network | 1-gen-2022 | De Marinis, L.; Contestabile, G.; Andriolli, N. | |
| Data Augmentation to Improve Performance of Neural Networks for Failure Management in Optical Networks | 1-gen-2023 | Khan, Lareb Zar; Pedro, João; Costa, Nelson; DE MARINIS, Lorenzo; Napoli, Antonio; Sambo, Nicola | |
| Analysis of Integration Technologies for High-Speed Analog Neuromorphic Photonics | 1-gen-2023 | De Marinis, Lorenzo; Andriolli, Nicola; Contestabile, Giampiero | |
| High-performance end-to-end deep learning IM/DD link using optics-informed neural networks | 1-gen-2023 | Roumpos, Ioannis; Marinis, Lorenzo De; Kirtas, Manos; Passalis, Nikolaos; Tefas, Anastasios; Contestabile, Giampiero; Pleros, Nikos; Moralis-Pegios, Miltiadis; Vyrsokinos, Konstantinos | |
| CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks | 1-gen-2023 | Paolini, Emilio; De Marinis, Lorenzo; Maggiani, Luca; Cococcioni, Marco; Andriolli, Nicola | |
| Validation of Photonic Neural Networks in Health Scenarios | 1-gen-2023 | Paolini, E.; De Marinis, L.; Contestabile, G.; Gupta, S.; Maggiani, L.; Andriolli, N. | |
| Neuromorphic Photonics for Digital Signal Processing | 1-gen-2023 | De Marinis, L.; Roumpos, I.; Andriolli, N.; Moralis-Pegios, M.; Pleros, N.; Contestabile, G. | |
| Source Device Independent Quantum Random Number Generator with Integrated InP Photonics | 1-gen-2023 | Kincaid, P. S.; De Marinis, L.; Montanaro, A.; Santamato, A.; Andriolli, N.; Contestabile, G. | |
| The potential of data augmentation for failure management in optical networks | 1-gen-2023 | Sambo, N.; Zar Khan, L.; Pedro, J.; Costa, N.; De Marinis, L.; Napoli, A. | |
| FTG-Net: Hierarchical Flow-to-Traffic Graph Neural Network for DDoS Attack Detection | 1-gen-2023 | Barsellotti, Luca; De Marinis, Lorenzo; Cugini, Filippo; Paolucci, Francesco | |
| Physics-inspired End-to-End Deep Learning for High-Performance Optical Fiber Transmission Links | 1-gen-2023 | Roumpos, I.; De Marinis, L.; Mourgias-Alexandris, G.; Kirtas, M.; Passalis, N.; Tefas, A.; Contestabile, G.; Vyrsokinos, K.; Pleros, N.; Moralis-Pegios, M. | |
| Graphene-Based Photonic-Electronic Multiply-Accumulate Neurons | 1-gen-2023 | De Marinis, L.; Kincaid, P. S.; Contestabile, G.; Gupta, S.; Andriolli, N. | |
| Impact of Photonic Integration Platforms on the Performance of Neuromorphic Accelerators | 1-gen-2023 | De Marinis, Lorenzo; Andriolli, Nicola; Gupta, Sumanta; Contestabile, Giampiero |
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