1.2k citations · 6.2k across the 88 of their papers we have counts for
4 papers · 1 filter
Dark Energy Survey Year 3 results: Simulation-based CDM inference from weak lensing and galaxy clustering maps with deep learning: Analysis design
A. Thomsen, J. Bucko, T. Kacprzak +99
Data-driven approaches using deep learning are emerging as powerful techniques to extract non-Gaussian information from cosmological large-scale structure. This work presents the f…
GalSBI-SPS: a stellar population synthesis-based galaxy population model for cosmology and galaxy evolution applications
Luca Tortorelli, Silvan Fischbacher, Daniel Grün +4
Next generation photometric and spectroscopic surveys will enable unprecedented tests of the concordance cosmological model and of galaxy formation and evolution. Fully exploiting…
Scalable Approximate Algorithms for Optimal Transport Linear Models
Tomasz Kacprzak, Francois Kamper, Michael W. Heiss +3
Recently, linear regression models incorporating an optimal transport (OT) loss have been explored for applications such as supervised unmixing of spectra, music transcription, and…
SHAM-OT: Rapid Subhalo Abundance Matching with Optimal Transport
Silvan Fischbacher, Tomasz Kacprzak, Luis Fernando Machado Poletti Valle +1
Subhalo abundance matching (SHAM) is widely used for connecting galaxies to dark matter haloes. In SHAM, galaxies and (sub-)haloes are sorted according to their mass (or mass proxy…