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An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees.

, , , , , , , and . HIPC, page 226-235. IEEE, (2022)

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Expressing linear equality constraints in feedforward neural networks., , , , and . CoRR, (2022)Scalable Hybrid Learning Techniques for Scientific Data Compression., , , , , , , and . CoRR, (2022)Fast Algorithms for Scientific Data Compression., , , , , , , and . HiPC, page 143-152. IEEE, (2023)Antenna Tracking Techniques for Long Range Air-to-Ground Communication Systems Using a Monopulse Method., , and . IEEE Access, (2020)Equivalent Circuit Modeling of PEM Fuel Cell Degradation Combined With a LFRC., , and . IEEE Trans. Ind. Electron., 60 (11): 5086-5094 (2013)An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees., , , , , , , and . HIPC, page 226-235. IEEE, (2022)Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression., , and . DCC, page 347. IEEE, (2023)MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring., , , , , , , , , and 6 other author(s). SoftwareX, (December 2023)Machine Learning Techniques for Data Reduction of CFD Applications., , , , , , , and . CoRR, (2024)Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders., , and . DCC, page 566. IEEE, (2024)