3 papers
cs.LG2026
A New Convergence Analysis of Plug-and-Play Proximal Gradient Descent Under Prior Mismatch
Guixian Xu, Jinglai Li, Junqi Tang
In this work, we provide a new convergence theory for plug-and-play proximal gradient descent (PnP-PGD) under prior mismatch where the denoiser is trained on a different data distr…
cs.LG2026
The Practicality of Normalizing Flow Test-Time Training in Bayesian Inference for Agent-Based Models
Junyao Zhang, Jinglai Li, Junqi Tang
Agent-Based Models (ABMs) are gaining great popularity in economics and social science because of their strong flexibility to describe the realistic and heterogeneous decisions and…
eess.IV2024
Equivariant Test-Time Training with Operator Sketching for Imaging Inverse Problems
Guixian Xu, Jinglai Li, Junqi Tang
Equivariant Imaging (EI) regularization has become the de-facto technique for unsupervised training of deep imaging networks, without any need of ground-truth data. Observing that…