150 citations · 875 across the 67 of their papers we have counts for
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Addressing Data Scarcity in Optical Matrix Multiplier Modeling Using Transfer Learning
Ali Cem, Ognjen Jovanovic, Siqi Yan +3
We present and experimentally evaluate using transfer learning to address experimental data scarcity when training neural network (NN) models for Mach-Zehnder interferometer mesh-b…
Data-efficient Modeling of Optical Matrix Multipliers Using Transfer Learning
Ali Cem, Ognjen Jovanovic, Siqi Yan +3
We demonstrate transfer learning-assisted neural network models for optical matrix multipliers with scarce measurement data. Our approach uses <10\% of experimental data needed for…
Data-driven Modeling of Mach-Zehnder Interferometer-based Optical Matrix Multipliers
Ali Cem, Siqi Yan, Yunhong Ding +2
Photonic integrated circuits are facilitating the development of optical neural networks, which have the potential to be both faster and more energy efficient than their electronic…
Experimental Validation of Spectral-Spatial Power Evolution Design Using Raman Amplifiers
Mehran Soltani, Francesco Da Ros, Andrea Carena +1
We experimentally validate a machine learning-enabled Raman amplification framework, capable of jointly shaping the signal power evolution in two domains: frequency and fiber dista…
Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs
Ali Cem, Siqi Yan, Uiara Celine de Moura +3
We experimentally compare simple physics-based vs. data-driven neural-network-based models for offline training of programmable photonic chips using Mach-Zehnder interferometer mes…
SNR optimization of multi-span fiber optic communication systems employing EDFAs with non-flat gain and noise figure
Metodi Plamenov Yankov, Pawel Marcin Kaminski, Henrik Enggaard Hansen +1
Throughput optimization of optical communication systems is a key challenge for current optical networks. The use of gain-flattening filters (GFFs) simplifies the problem at the co…