T2.R1: Exploiting Low-Dimensional Structures and Generative Models for Solving High-Dimensional Inverse Problems
Tue, 16 Dec, 16:00 - 17:20 AST (UTC -4)
Location: Isabela I
Session Type: Lecture
Session Co-Chairs: Qing Qu, University of Michigan and Fauzia Ahmad, Temple University
Track: Special Sessions
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Tue, 16 Dec, 16:00 - 16:20 AST (UTC -4)

T2.R1.1: Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors
Namhoon Kim, Sara Fridovich-Keil, Georgia Institute of Technology, United States
Tue, 16 Dec, 16:20 - 16:40 AST (UTC -4)

T2.R1.2: Network-Regularized Diffusion Sampling For 3D Computed Tomography
Shijun Liang, Ismail Alkhouri, UMich and MSU, United States; Qing Qu, UMich, United States; Rongrong Wang, Saiprasad Ravishankar, MSU, United States
Tue, 16 Dec, 16:40 - 17:00 AST (UTC -4)

T2.R1.3: Flow with Interpolant Guidance for Linear Inverse Problems
Yici Yan, Yichi Zhang, University of Illinois Urbana-Champaign, United States; Xiangming Meng, ZJU-UIUC Institute, Zhejiang University, China; Zhizhen Zhao, University of Illinois Urbana-Champaign, United States
Tue, 16 Dec, 17:00 - 17:20 AST (UTC -4)

T2.R1.4: FMPLUG: PLUG-IN FOUNDATION FLOW-MATCHING PRIORS FOR INVERSE PROBLEMS
Yuxiang Wan, Ryan Devera, Wenjie Zhang, Ju Sun, University of Minnesota, United States