Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest
Author:
Affiliation:
1. University of Florida,USA
2. Oak Ridge National Laboratory,USA
3. University of Alabama at Birmingham,USA
4. Princeton Plasma Physics Laboratory,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10254737/10254662/10254934.pdf?arnumber=10254934
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5. Quasi-Newton Methods, Motivation and Theory
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders;2024 Data Compression Conference (DCC);2024-03-19
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