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    SageNet: Fast Neural Network Emulation of the Stiff-amplified Gravitational Waves from Inflation by Fan Zhang, Yifang Luo, Bohua Li, Ruihan Cao, Wenjin Peng, Joel Meyers, Paul R. Shapiro

    Published 2025-01-01
    “…These capabilities make SageNet a powerful tool for accelerating Bayesian inference procedures for extended cosmological models. In a broad sense, the SageNet framework offers a fast, accurate, and generalizable solution to modeling cosmological observables whose theoretical predictions demand costly differential equation solvers.…”
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    A hybrid machine learning framework for functional annotation of mitochondrial glutathione transport and metabolism proteins in cancers by Luke Kennedy, Jagdeep K. Sandhu, Mary-Ellen Harper, Miroslava Cuperlovic-Culf

    Published 2025-02-01
    “…Code and a tutorial for generating models and predictions in this framework are available at: https://github.com/lkenn012/mGSH_cancerClassifiers .…”
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    Generation of realistic input parameters for simulating atmospheric point-spread functions at astronomical observatories by Claire-Alice Hébert, Joshua E. Meyers, My H. Do, Patricia R. Burchat, LSST Dark Energy Science Collaboration

    Published 2024-04-01
    “…The code repository for producing the correlated weather parameters for input to simulations (psf-weather-station) is public at [https://github.com/LSSTDESC/psf-weather-station](https://github.com/LSSTDESC/psf-weather-station)…”
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