206 citations · 208 across the 5 of their papers we have counts for
5 papers
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…
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…
Slow-light-enhanced energy efficiency for the graphene microheater on silicon photonic crystal waveguides
Siqi Yan, Xiaolong Zhu, Lars Hagedorn Frandsen +4
Slow light has been widely utilized to obtain enhanced nonlinearities, enhanced spontaneous emissions, and increased phase shifts owing to its ability to promote light-matter inter…