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stat.ML2026
StrTransformer: Source-Wise Structured Transformers for Unsupervised Blind Source Recovery
Yuan-Hao Wei
This paper proposes StrTransformer, a source-wise structured Transformer framework for blind source recovery and branch-wise latent modeling. Instead of using an encoder to infer l…
stat.ML2026
StrADiff: A Structured Source-Wise Adaptive Diffusion Framework for Linear and Nonlinear Blind Source Separation
Yuan-Hao Wei
This paper presents StrADiff, a Structured Source-Wise Adaptive Diffusion Framework for unsupervised blind source separation under linear and nonlinear mixing. The framework treats…
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…