Machine learning in solar physics

27 June 2023

Papers citing "Machine learning in solar physics"

6 / 6 papers shown

Title
Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges Bo Shen Marco Marena Chenyang Li Qin Li Haodi Jiang Mengnan Du Jiajun Xu Haimin Wang 28 0 0 07 Sep 2024
Towards on-sky adaptive optics control using reinforcement learning J. Nousiainen C. Rajani M. Kasper T. Helin S. Haffert ... M. Kautz J. Lumbres A. Rodack J. Knight K. Miller 12 17 0 16 May 2022
SCSS-Net: Solar Corona Structures Segmentation by Deep Learning Š. Mackovjak Martin Harman V. Maslej-Krešňáková P. Butka 6 10 0 22 Sep 2021
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks Sifan Wang Hanwen Wang P. Perdikaris 131 437 0 18 Dec 2020
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,387 0 21 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,884 0 13 Jun 2015