Small-brain neural networks rapidly solve inverse problems with vortex Fourier encoders

15 May 2020

Papers citing "Small-brain neural networks rapidly solve inverse problems with vortex Fourier encoders"

6 / 6 papers shown

Title
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks Michele Alberti A. Botros Narayan Schütz Rolf Ingold Marcus Liwicki Mathias Seuret MedIm 21 2 0 12 Nov 2019
$Real-time coherent diffraction inversion using deep generative networks$ Real-time coherent diffraction inversion using deep generative networks Mathew J. Cherukara Y. Nashed R. Harder DiffM 60 94 0 07 Jun 2018
$All-Optical Machine Learning Using Diffractive Deep Neural Networks$ All-Optical Machine Learning Using Diffractive Deep Neural Networks Xing Lin Y. Rivenson N. Yardimci Muhammed Veli Mona Jarrahi Aydogan Ozcan 93 1,665 0 14 Apr 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 280 8,878 0 25 Aug 2017
Lensless computational imaging through deep learning Ayan Sinha Justin Lee Shuai Li George Barbastathis 60 520 0 22 Feb 2017
Stable and robust sampling strategies for compressive imaging Felix Krahmer Rachel A. Ward 113 186 0 08 Oct 2012