  We present an exploratory investigation into using Simulation-based Inference
techniques, specifically Flow-Matching Posterior Estimation, to construct a
posterior density estimator trained using real gravitational-wave detector
noise. We use this prototype estimator to investigate possible effects on
parameter estimation for Intermediate-Mass Binary Black Holes, showing
statistically significant reduced measurement bias. While the results do show
potential for improved measurements, they also highlight the need for further
work.
