Convergence of Nonconvex PNP-ADMM with MMSE Denoisers. - Chicago Y. Park; Shirin Shoushtari; Weijie Gan; Ulugbek S. Kamilov (CAMSAP, 2023)

A Structured Pruning Algorithm for Model-based Deep Learning. - Chicago Y. Park; Weijie Gan; Zihao Zou; Yuyang Hu; Zhixin Sun; Ulugbek S. Kamilov (CoRR, 2023)

Random Walks with Tweedie: A Unified Framework for Diffusion Models. - Chicago Y. Park; Michael T. McCann; Cristina Garcia-Cardona; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2024)

Plug-and-Play Priors as a Score-Based Method. - Chicago Y. Park; Yuyang Hu; Michael T. McCann; Cristina Garcia-Cardona; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2024)

Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning. - Chicago Y. Park; Weijie Gan; Zihao Zou; Yuyang Hu; Zhixin Sun; Ulugbek S. Kamilov (J. Math. Imaging Vis., 2025)

Measurement Score-Based Diffusion Model. - Chicago Y. Park; Shirin Shoushtari; Hongyu An; Ulugbek S. Kamilov (CoRR, 2025)