3 citations · 5 across the 7 of their papers we have counts for
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astro-ph.IM2024
Fast GPU-Powered and Auto-Differentiable Forward Modeling of IFU Data Cubes
Ufuk Çakır, Anna Lena Schaible, Tobias Buck
We present RUBIX, a fully tested, well-documented, and modular Open Source tool developed in JAX, designed to forward model IFU cubes of galaxies from cosmological hydrodynamical s…
astro-ph.IM2023★ 2 cited
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
D. Huppenkothen, M. Ntampaka, M. Ho +19
Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of…