SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks

7 September 2023

Papers citing "SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks"

8 / 8 papers shown

Title
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Xiao Li Jaemoon Lee Anand Rangarajan Sanjay Ranka 27 0 0 22 Dec 2024
Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression Yuxiao Li Xin Liang Xin Liang Bei Wang Hanqi Guo 16 0 0 25 Sep 2024
Machine Learning Techniques for Data Reduction of CFD Applications Jaemoon Lee Ki Sung Jung Qian Gong Xiao Li S. Klasky Jacqueline H. Chen Anand Rangarajan Sanjay Ranka 16 3 0 28 Apr 2024
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data Wenqi Jia Sian Jin Jinzhen Wang Wei Niu Dingwen Tao Miao Yin 11 3 0 20 Apr 2024
MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors Yuxiao Li Xin Liang Bei Wang Yongfeng Qiu Lin Yan Hanqi Guo 21 3 0 05 Apr 2024
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications Grant Wilkins Sheng Di Jon C. Calhoun Zilinghan Li Kibaek Kim Robert Underwood Richard Mortier Franck Cappello FedML 24 1 0 20 Dec 2023
Compressing multidimensional weather and climate data into neural networks La-mei Huang Torsten Hoefler AI4CE 30 30 0 22 Oct 2022
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 183 5,138 0 16 Sep 2016