Likelihood-free in Paris

Cosmological Applications of Truncated Marginal Neural Ratio Estimation

Confirmed

Apr 21, 2022, 4:10 PM

15m

École Normale Supérieure, Paris

Talk (submitted) Talks

Speaker

Alex Cole (University of Amsterdam)

Description

I will describe some applications of Truncated Marginal Neural Ratio Estimation (TMNRE) to cosmological simulation-based inference. In particular, I will report on using SBI for CMB power spectra (based on https://arxiv.org/abs/2111.08030) and realistic 21cm simulations (work in progress). Along the way, I plan to discuss some thoughts on how to incorporate active learning scenarios with high-dimensional nuisance parameter spaces, as well as criteria we need to trust results generated via simulation-based inference.