From simulations to cosmological constraints: a machine learning approach – Camila Paiva Novais -(INPE)

Anfiteatro Antonio Cabral

Given the challenge of accurately modeling the data likelihood, there has been growing interest and effort in exploring machine learning tools for simulation-based inference (SBI). This approach is particularly valuable in the context of high-order statistics, which often lack an analytical expression or a known closed-form theoretical model. I will discuss how SBI can serve […]