Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows
Transient glitches can distort Bayesian inference for massive black-hole binaries. This preprint combines time-frequency representations, contrastive learning, and conditional normalizing flows to infer source parameters from contaminated Taiji data. …