Sketch-based regularization allows in situ training of implicit neural compressors to approximately match offline performance on 2D/3D simulation data at high compression rates.
Neural implicit flow: a mesh-agnostic dimen- sionality reduction paradigm of spatio-temporal data.Journal of Machine Learning Research, 24(41): 1–60, 2023
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In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization
Sketch-based regularization allows in situ training of implicit neural compressors to approximately match offline performance on 2D/3D simulation data at high compression rates.