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Found 2 papers, 1 papers with code
Self-Distilled Representation Learning for Time Series
Self-supervised learning for time-series data holds potential similar to that recently unleashed in Natural Language Processing and Computer Vision.
Multiscale Neural Operators for Solving Time-Independent PDEs
Time-independent Partial Differential Equations (PDEs) on large meshes pose significant challenges for data-driven neural PDE solvers.
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