12 citations · 29 across the 11 of their papers we have counts for
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astro-ph.IM2026
Accelerating massive ensembles of ordinary differential equations
Lawrence Berry, Will Handley, Oliver Hahn +1
Solving large ensembles of small, independent ordinary differential equations (ODEs) is a common task in computational science and engineering, arising for example in Bayesian para…
astro-ph.IM2024
A deep learning framework for jointly extracting spectra and source-count distributions in astronomy
Florian Wolf, Florian List, Nicholas L. Rodd +1
Astronomical observations typically provide three-dimensional maps, encoding the distribution of the observed flux in (1) the two angles of the celestial sphere and (2) energy/freq…