3 papers
cs.LG2026
Can Deep Neural Networks Improve Compression of Very Large Scientific Data?
Muhannad Alhumaidi, Guozhong Li, Spiros Skiadopoulos +1
Error-bounded lossy compression is a fundamental technique for managing the rapidly growing volumes of scientific data produced by modern simulations and observational instruments.…
cs.LG2025
LLMComp: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression (Technical Report)
Guozhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos +1
The rapid growth of high-resolution scientific simulations and observation systems is generating massive spatiotemporal datasets, making efficient, error-bounded compression increa…
cs.LG2025
GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders
Guozhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos +2
The generation of voluminous scientific data poses significant challenges for efficient storage, transfer, and analysis. Recently, error-bounded lossy compression methods emerged d…