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[PRE REVIEW]: smolyax: a high-performance implementation of the Smolyak interpolation operator in JAX #8204
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Five most similar historical JOSS papers: LaplaceInterpolation.jl: A Julia package for fast interpolation on a grid ndsplines: A Python Library for Tensor-Product B-Splines of Arbitrary Dimension JAXbind: Bind any function to JAX Spiner: Performance Portable Routines for Generic, Tabulated, Multi-Dimensional Data Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference |
👋 @JoWestermann - thanks for your submission. I see two issues:
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Dear @danielskatz, thank you for your this first feedback. In case this might tip the scale in terms of lines of code, we do have several additional features sketched out or in the works that would expand the code base further, and which we could add over the course of a few weeks. |
@JoWestermann - I'll pause this for now. Let me know when there is more code/features, and also please do reduce the paper length |
Submitting author: @JoWestermann (Josephine)
Repository: https://github.com/JoWestermann/smolyax
Branch with paper.md (empty if default branch):
Version: v1.0.0
Editor: Pending
Reviewers: Pending
Managing EiC: Daniel S. Katz
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