publications

Full list of publications in reverse chronological order. * denotes equal contribution.

2026

  1. arXiv
    SNaP: One-Step Posterior Sampling for Noisy Inverse Problems
    Shirin Shoushtari*, Edward P. Chandler*, Xiao Shi, and 1 more author
    arXiv preprint, 2026
    arXiv Website
  2. arXiv
    FIRM: Flow-based Imaging via Regularized Minimization
    Shirin Shoushtari, Edward P. Chandler, Xiao Shi, and 1 more author
    arXiv preprint, 2026
    arXiv Website
  3. ICLR
    EigenScore: OOD Detection using Covariance in Diffusion Models
    Shirin Shoushtari, Yi Wang, Xiao Shi, and 2 more authors
    In International Conference on Learning Representations (ICLR), 2026
    arXiv Code Website
  4. ICLR
    Measurement Score-Based Diffusion Model
    Chicago Y. Park, Shirin Shoushtari, Hongyu An, and 1 more author
    In International Conference on Learning Representations (ICLR), 2026
    arXiv Code Website
  5. ICASSP
    Moments Matter: Posterior Recovery in Poisson Denoising via Log-Networks
    Shirin Shoushtari, Edward P. Chandler, and Ulugbek S. Kamilov
    In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026
    arXiv

2025

  1. CAMSAP
    Distribution Shift Estimation in Imaging Inverse Problems
    Weining Wang*, Shirin Shoushtari*, Edward P. Chandler, and 2 more authors
    In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2025
    HTML
  2. Asilomar
    Out-of-Distribution Detection via Uncertainty Quantification in Diffusion Models
    Shirin Shoushtari, Yi Wang, and Ulugbek S. Kamilov
    In Asilomar Conference on Signals, Systems, and Computers, 2025
  3. TCI
    Closed-Form Approximation of the Total Variation Proximal Operator
    Edward P. Chandler, Shirin Shoushtari, Brendt Wohlberg, and 1 more author
    IEEE Transactions on Computational Imaging, 2025
    arXiv HTML
  4. arXiv
    Analysis Plug-and-Play Methods for Imaging Inverse Problems
    Edward P. Chandler, Shirin Shoushtari, Brendt Wohlberg, and 1 more author
    arXiv preprint, 2025
    arXiv
  5. arXiv
    Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models
    Shirin Shoushtari, Edward P. Chandler, M. Salman Asif, and 1 more author
    arXiv preprint, 2025
    arXiv Code Website
  6. WACV
    FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
    Zihao Zou*, Jiaming Liu*, Shirin Shoushtari, and 3 more authors
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
    arXiv HTML Code Website

2024

  1. ICML
    Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
    Shirin Shoushtari*, Jiaming Liu*, Edward P. Chandler, and 2 more authors
    In International Conference on Machine Learning (ICML), 2024
    arXiv HTML Code Website
  2. arXiv
    PnP Restoration with Domain Adaptation for SANS
    Shirin Shoushtari, Edward P. Chandler, Jialiang Zhang, and 4 more authors
    arXiv preprint, 2024
    arXiv
  3. arXiv
    TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy
    Zihao Zou, Shirin Shoushtari, Jiaming Liu, and 6 more authors
    arXiv preprint, 2024
    arXiv
  4. AACR
    Long-term Breast Cancer Risk Prediction in Black Women: External Validation of a Mammography-driven AI Model
    Juanita Hernandez Lopez, Zhixin Sun, Shirin Shoushtari, and 3 more authors
    Cancer Research, 2024
    HTML

2023

  1. NeurIPS
    Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
    Weijie Gan, Shirin Shoushtari, Yuyang Hu, and 3 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), 2023
    arXiv HTML Code Website
  2. CAMSAP
    Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time Training
    Edward P. Chandler, Shirin Shoushtari, Jiaming Liu, and 2 more authors
    In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023
    arXiv HTML
  3. CAMSAP
    Convergence of Nonconvex PnP-ADMM with MMSE Denoisers
    Chicago Y. Park*, Shirin Shoushtari*, Weijie Gan, and 1 more author
    In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023
    Student Paper Award Finalist arXiv HTML Website
  4. Asilomar
    DOLPH: Diffusion Models for Phase Retrieval
    Shirin Shoushtari, Jiaming Liu, and Ulugbek S. Kamilov
    In Asilomar Conference on Signals, Systems, and Computers, 2023
    arXiv HTML
  5. ICASSP
    Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model
    Junhao Hu*, Shirin Shoushtari*, Zihao Zou, and 3 more authors
    In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
    arXiv HTML

2022

  1. NeurIPS
    Online Deep Equilibrium Learning for Regularization by Denoising
    Jiaming Liu, Xiaojian Xu, Weijie Gan, and 2 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), 2022
    arXiv HTML Code
  2. JSAIT
    Deep Model-based Architectures for Inverse Problems under Mismatched Priors
    Shirin Shoushtari, Jiaming Liu, Yuyang Hu, and 1 more author
    IEEE Journal on Selected Areas in Information Theory, 2022
    arXiv HTML Website

2021

  1. ICBME
    Emotion Recognition Using Sparse Graph Analysis of Brain Connectivity
    Shirin Shoushtari, Hoda Mohammadzadeh, and Arash Amini
    In IEEE International Conference on Biomedical Engineering (ICBME), 2021
    Best Paper Award (4th place) HTML