From the 2 of 8 linked papers with an AI index.
8 papers
Domain Adaptation of Mismatched Proximal Denoiser for Plug-and-Play Image Reconstruction
Guixian Xu, Jinglai Li, Junqi Tang
The paper studies how using denoisers trained on different data affects plug-and-play proximal gradient descent for image reconstruction, introduces a notion of proximal mismatch,…
Segmenting Human-LLM Co-authored Text via Change Point Detection
Mengchu Li, Jin Zhu, Jinglai Li +1
The paper introduces algorithms that locate human-written versus LLM-generated segments within a mixed text by treating the problem as a change‑point detection task, and provides t…
Exponential-Family Tensor Completion via Nonconvex Dual Total-Variation Regularization
Wenfei Cao, Yang Chen, Qibin Zhao +2
With the emergence of various tensor data, tensor completion from partial measurements has attracted widespread attention in data science and signal processing. Total Variation (TV…
Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting
Guixian Xu, Jinglai Li, Junqi Tang
In this work, we propose Fast Equivariant Imaging (FEI), a novel unsupervised learning framework to rapidly and efficiently train deep imaging networks without ground-truth data. F…
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…
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…