18 citations · 41 across the 5 of their papers we have counts for
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stat.ML2026
Kinetic Langevin Meets Split Gibbs: Accelerated Posterior Sampling for Imaging Inverse Problems with Diffusion Priors
Dai Hai Nguyen, Duc Dung Nguyen
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 throu…
cs.LG2026
A dictionary learning framework for graphs via filters and optimal transport
Jinchuan Liao, Dai Hai Nguyen
We propose a graph dictionary learning (GDL) framework where each graph is represented as a zero-mean Gaussian distribution derived from its filtered Laplacian. Each observed graph…
cs.LG2026
Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization
Dai Hai Nguyen, Duc Dung Nguyen, Atsuyoshi Nakamura +1
We study multi-objective optimization over probability distributions in Wasserstein space. Recently, Nguyen et al. (2025) introduced Multiple Wasserstein Gradient Descent (MWGraD)…