3 papers
cs.LG2026
Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework
Rajesh Shrestha, Xiao Fu
While score-based generative models have emerged as powerful priors for solving inverse problems, directly integrating them into optimization algorithms such as ADMM remains nontri…
eess.IV2025
Rethinking Coupled Tensor Analysis for Hyperspectral Super-Resolution: Recoverable Modeling Under Endmember Variability
Meng Ding, Xiao Fu
This work revisits the hyperspectral super-resolution (HSR) problem, i.e., fusing a pair of spatially co-registered hyperspectral (HSI) and multispectral (MSI) images to recover a…
cs.LG2025
Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability
Hoang-Son Nguyen, Xiao Fu
Latent component identification from unknown nonlinear mixtures is a foundational challenge in machine learning, with applications in tasks such as disentangled representation lear…