MOFTy: Multimodal Gaussian Process Factor Analysis with Numerical Information Field Theory
MOFTy is presented, a Bayesian multimodal factor analysis framework based on numerical information field theory (NIFTy) that replaces fixed kernel families with the flexible correlated field model in NIFTy and enables explicit additive component separation within each latent factor with quantified uncertainty.