Author

Dai Hai Nguyen

University of Tsukuba

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#machine learning Preprint Oct 2026

Kinetic Langevin Meets Split Gibbs: Accelerated Posterior Sampling for Imaging Inverse Problems with Diffusion Priors

Split Gibbs sampling (SGS) is a popular framework for posterior sampling in Bayesian imaging inverse problems. It decouples a Gaussian data-fidelity term from a complex prior through an auxiliary variable, so the data variable is updated exactly and only the prior-side conditional is hard to sample. Existing samplers t...

Dai Hai Nguyen, Duc Dung Nguyen · 0 citations

#machine learning Preprint Sep 2026

A dictionary learning framework for graphs via filters and optimal transport

A novel interpretation of sfGOT through the lens of the Hilbert-Schmidt Independence Criterion is provided, showing that minimizing the sfGOT distance between two graphs is equivalent to maximizing statistical dependence between the spectral embedding of their nodes.

Jin-Chuan Liao, Dai Hai Nguyen · 0 citations