11 citations · 11 across the 1 of their papers we have counts for
6 papers
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…
Terahertz Pulse Shaping Using Diffractive Surfaces
Muhammed Veli, Deniz Mengu, Nezih T. Yardimci +5
Recent advances in deep learning have been providing non-intuitive solutions to various inverse problems in optics. At the intersection of machine learning and optics, diffractive…
Spectrally-Encoded Single-Pixel Machine Vision Using Diffractive Networks
Jingxi Li, Deniz Mengu, Nezih T. Yardimci +6
3D engineering of matter has opened up new avenues for designing systems that can perform various computational tasks through light-matter interaction. Here, we demonstrate the des…
Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving
Wei Wang, Shibo Zhou, Jingxi Li +3
Accurate real-time object recognition from sensory data has long been a crucial and challenging task for autonomous driving. Even though deep neural networks (DNNs) have been succe…
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue
Yijie Zhang, Kevin de Haan, Yair Rivenson +3
Histological staining is a vital step used to diagnose various diseases and has been used for more than a century to provide contrast to tissue sections, rendering the tissue const…
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…