7 citations · 10 across the 5 of their papers we have counts for
3 papers · 1 filter
Field-level weak lensing cosmology with simulations using multifidelity simulation-based inference
Alex A. Saoulis, Kiyam Lin, Niall Jeffrey +5
We perform a realistic KiDS-Legacy mock analysis with field-level neural compression and simulation-based inference using just 60 -body simulations. The weak lensing shear field…
Transfer learning for multifidelity simulation-based inference in cosmology
Alex A. Saoulis, Davide Piras, Niall Jeffrey +3
Simulation-based inference (SBI) enables cosmological parameter estimation when closed-form likelihoods or models are unavailable. However, SBI relies on machine learning for neura…
Sparse Bayesian mass-mapping using trans-dimensional MCMC
Augustin Marignier, Thomas Kitching, Jason D. McEwen +1
Uncertainty quantification is a crucial step of cosmological mass-mapping that is often ignored. Suggested methods are typically only approximate or make strong assumptions of Gaus…