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20212024
most citedData-driven Modeling of Mach-Zehnder Interferometer-based Optical Matrix Multipliers

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.ET2024

Thermal Crosstalk Modelling and Compensation Methods for Programmable Photonic Integrated Circuits

Isidora Teofilovic, Ali Cem, David Sanchez-Jacome +2

Photonic integrated circuits play an important role in the field of optical computing, promising faster and more energy-efficient operations compared to their digital counterparts.…

cs.LG2023

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…

cs.LG2022

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…

cs.LG2022★ 2 cited

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…

cs.LG2021

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…