Machine learning for classifying and interpreting coherent X-ray speckle
patterns

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Machine learning for classifying and interpreting coherent X-ray speckle patterns

15 November 2022

S. Sankaranarayanan

Maria K. Y. Chan

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Papers citing "Machine learning for classifying and interpreting coherent X-ray speckle patterns"

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Title
Deep Reinforcement Learning for Data-Driven Adaptive Scanning in Ptychography M. Schloz Johannes Müller T. Pekin W. V. D. Broek C. Koch 55 7 0 29 Mar 2022
Multi defect detection and analysis of electron microscopy images with deep learning Mingren Shen Guanzhao Li Dongxian Wu Yuhan Liu J. Greaves ... Bryan Sanchez Oigimer Torres Wei Li Kevin G. Field D. Morgan 37 42 0 19 Aug 2021
A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations Mingren Shen Guanzhao Li Dongxian Wu Y. Yaguchi J. C. Haley Kevin G. Field D. Morgan 50 44 0 19 Aug 2021
A Deep Learning Approach for Characterizing Major Galaxy Mergers Skanda Koppula V. Bapst M. Huertas-Company Sam Blackwell A. Grabska-Barwinska ... Y. Dubois Jesús Vega Ferrero D. Koo J. Primack T. Back 19 5 0 09 Feb 2021
Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models T. Konstantinova L. Wiegart M. Rakitin Anthony Degennaro A. Barbour 30 17 0 07 Feb 2021
Assessing Graph-based Deep Learning Models for Predicting Flash Point Xiaoyu Sun Nathaniel J. Krakauer A. Politowicz Wei-Ting Chen Qiying Li ... Xianjia Shao Alfred Sunaryo Mingren Shen James Wang D. Morgan 28 21 0 26 Feb 2020
Interpretable deep learning for guided structure-property explorations in photovoltaics B. Pokuri Sambuddha Ghosal Apurva Kokate Baskar Ganapathysubramanian Soumik Sarkar 17 62 0 14 Nov 2018
$Supervised Classification Methods for Flash X-ray single particle diffraction Imaging$ Supervised Classification Methods for Flash X-ray single particle diffraction Imaging Jing Liu G. Schot Stefan Engblom 22 5 0 25 Oct 2018
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 324 20,086 0 07 Oct 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,196 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 124 1,874 0 22 Jun 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,595 0 01 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 314 7,316 0 20 Dec 2013