117 citations · 985 across the 26 of their papers we have counts for
Showing cs.NEShow all
3 papers · 1 filter
cs.NE2022★ 90 cited
Massively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network
Jingxi Li, Bijie Bai, Yi Luo +1
We report deep learning-based design of a massively parallel broadband diffractive neural network for all-optically performing a large group of arbitrarily-selected, complex-valued…
cs.NE2020
Ensemble learning of diffractive optical networks
Md Sadman Sakib Rahman, Jingxi Li, Deniz Mengu +2
A plethora of research advances have emerged in the fields of optics and photonics that benefit from harnessing the power of machine learning. Specifically, there has been a reviva…
cs.NE2019
Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy
Jingxi Li, Deniz Mengu, Yi Luo +2
Diffractive deep neural networks have been introduced earlier as an optical machine learning framework that uses task-specific diffractive surfaces designed by deep learning to all…