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stat.ML2026
PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA
Yuan-Hao Wei, Yan-Jie Sun
Independent component analysis is a core framework within blind source separation for recovering latent source signals from observed mixtures under statistical independence assumpt…
stat.ML2026
AR-Flow VAE: A Structured Autoregressive Flow Prior Variational Autoencoder for Unsupervised Blind Source Separation
Yuan-Hao Wei, Fu-Hao Deng, Lin-Yong Cui +1
Blind source separation (BSS) seeks to recover latent source signals from observed mixtures. Variational autoencoders (VAEs) offer a natural perspective for this problem: the laten…