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Exploring Autoencoder-based Error-bounded Compression for Scientific
  Data

Exploring Autoencoder-based Error-bounded Compression for Scientific Data

25 May 2021
Jinyang Liu
Sheng Di
Kai Zhao
Sian Jin
Dingwen Tao
Xin Liang
Zizhong Chen
Franck Cappello
ArXivPDFHTML

Papers citing "Exploring Autoencoder-based Error-bounded Compression for Scientific Data"

10 / 10 papers shown
Title
GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders
GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders
Guozhong Li
Muhannad Alhumaidi
Spiros Skiadopoulos
Ibrahim Hoteit
Panos Kalnis
AI4CE
29
0
0
08 May 2025
Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression
Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression
Yuxiao Li
Xin Liang
Xin Liang
Bei Wang
Hanqi Guo
23
0
0
25 Sep 2024
GWLZ: A Group-wise Learning-based Lossy Compression Framework for
  Scientific Data
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data
Wenqi Jia
Sian Jin
Jinzhen Wang
Wei Niu
Dingwen Tao
Miao Yin
32
3
0
20 Apr 2024
MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale
  Segmentations in Error-Bounded Lossy Compressors
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
42
4
0
05 Apr 2024
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression
  with Super-resolution Neural Networks
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks
Jinyang Liu
Sheng Di
Sian Jin
Kai Zhao
Xin Liang
Zizhong Chen
Franck Cappello
35
8
0
07 Sep 2023
Hierarchical Autoencoder-based Lossy Compression for Large-scale
  High-resolution Scientific Data
Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data
Hieu Le
Jián Tao
AI4CE
29
2
0
09 Jul 2023
An autoencoder compression approach for accelerating large-scale inverse
  problems
An autoencoder compression approach for accelerating large-scale inverse problems
J. Wittmer
Jacob Badger
H. Sundar
T. Bui-Thanh
AI4CE
29
1
0
10 Apr 2023
IDLat: An Importance-Driven Latent Generation Method for Scientific Data
IDLat: An Importance-Driven Latent Generation Method for Scientific Data
Jingyi Shen
Haoyu Li
Jiayi Xu
Ayan Biswas
Han-Wei Shen
MedIm
DiffM
35
6
0
05 Aug 2022
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded
  Lossy Compressors
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors
Xin Liang
Kai Zhao
Sheng Di
Sihuan Li
Robert Underwood
...
Junjing Deng
Jon C. Calhoun
Dingwen Tao
Zizhong Chen
Franck Cappello
19
96
0
04 Nov 2021
Deep Hierarchical Super Resolution for Scientific Data
Deep Hierarchical Super Resolution for Scientific Data
Skylar W. Wurster
Hanqi Guo
Han-Wei Shen
T. Peterka
Jiayi Xu
25
13
0
30 May 2021
1