4 papers
How to embed any likelihood into SBI: Application to Planck + Stage IV galaxy surveys and Dynamical Dark Energy
Guillermo Franco Abellán, Noemi Anau Montel, Oleg Savchenko +1
Simulation-based inference (SBI) allows fast Bayesian inference for simulators encoding implicit likelihoods. However, some explicit likelihoods cannot be easily reformulated as si…
Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation
Oleg Savchenko, Guillermo Franco Abellán, Florian List +2
Knowledge of the primordial matter density field from which the large-scale structure of the Universe emerged over cosmic time is of fundamental importance for cosmology. However,…
Fast likelihood-free inference in the LSS Stage IV era
Guillermo Franco Abellán, Guadalupe Cañas Herrera, Matteo Martinelli +3
Forthcoming large-scale structure (LSS) Stage IV surveys will provide us with unprecedented data to probe the nature of dark matter and dark energy. However, analysing these data w…
Mean-Field Simulation-Based Inference for Cosmological Initial Conditions
Oleg Savchenko, Florian List, Guillermo Franco Abellán +2
Reconstructing cosmological initial conditions (ICs) from late-time observations is a difficult task, which relies on the use of computationally expensive simulators alongside soph…