Fig. 1

BayesFlow architecture. \(\varvec{\psi }\), \(\varvec{\phi }\) denote the network parameters of the summary network and the cINN, respectively. The blue arrows stand for the forward training process; the red arrows stand for the inverse inference process. In the inverse process, only the cINN part is inverted, and the summary network part remains the same as that in the forward process