University of Wisconsin–Madison

Publications

Pre-print

  1. C. Y. Park, M. T. McCann, C. Garcia-Cardona, B. Wohlberg, and U. S. Kamilov, “Deep Parameter Interpolation for Scalar Conditioning.”
    [arXiv:2511.21028]
  2. S. Shoushtari, Y. Wang, X. Shi, M. S. Asif, and U. S. Kamilov, “EigenScore: OOD Detection using Covariance in Diffusion Models.”
    [arXiv:2510.07206]
  3. S. Shoushtari, E. P. Chandler, U. S. Kamilov, “Moments Matter: Posterior Recovery in Poisson Denoising via Log-Networks.”
    [arXiv:2510.07199]
  4. T. Liu, C. Y. Park, Y. Hu, H. An, and U. S. Kamilov, “Measurement Score-Based MRI Reconstruction with Automatic Coil Sensitivity Estimation.”
    [arXiv:2509.18402]
  5. E. P. Chandler, S. Shoushtari, B. Wohlberg, and U. S. Kamilov, “Analysis Plug-and-Play Methods for Imaging Inverse Problems.”
    [arXiv:2509.15422]
  6. C. Y. Park, S. Shoushtari, H. An, and U. S. Kamilov, “Measurement Score-Based Diffusion Model.”
    [Project Page] [arXiv:2505.11853] [code]
  7. S. Shoushtari, E. P. Chandler, Y. Wang, M. S. Asif, and U. S. Kamilov, “Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models.”
    [arXiv:2505.11482]
  8. Y. Hu, A. Peng, W. Gan, and U. S. Kamilov, “ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction.”
    [Project Page] [arXiv:2411.16535]
  9. S. Shoushtari, E. P. Chandler, J. Zhang, M. Senanayake, S. V. Pingali, M. Foston, and U. S. Kamilov, “PnP Restoration with Domain Adaptation for SANS.”
    [arXiv:2403.10495]

In-press

  1. Y. Hu, K. Mei, M. Sahraee-Ardakan, U. S. Kamilov, P. Milanfar, and M. Delbracio, “Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration,” Proc. Ann. Conf. Neural Information Processing Systems (NeurIPS 2025) (San Diego, CA, USA, December 2–7), 2025.
    [arXiv:2507.05604]

Recent publications

  1. E. P. Chandler, S. Shoushtari, B. Wohlberg, and U. S. Kamilov, “Closed-form approximation of the total variation proximal operator,” IEEE Trans. Comput. Imag., vol. 11, pp. 1217–1228, 2025.
    [10.1109/TCI.2025.3603689]
  2. N. Yismaw, U. S. Kamilov, and M. S. Asif, “Gaussian is all you need: A unified framework for solving inverse problems via diffusion posterior sampling,” IEEE Trans. Comput. Imag., vol. 11, pp. 1020–1030, 2025.
    [10.1109/TCI.2025.3594988]
  3. S. Zhao, L. Chibani, E. P. Chandler, F. Liu, J. Hu, L. Valzania, U. S. Kamilov, and H. B. de Aguiar, “Computational field-resolved coherent chemical imaging,” Nat. Commun., vol. 16, no. 7406, 2025
    [10.1038/s41467-025-62716-8]
  4. Z. Sun, J. M. Godbe, A. Zheleznyak, B. Manion, J. Hu, J. L. Prior, K. Duncan, U. S. Kamilov, and M. Shokeen, “Advanced quantification pipeline reveals new spatial and temporal tumor characteristics in preclinical multiple myeloma,” EJNMMI Res., vol. 15, no. 95, 2025
    [10.1186/s13550-025-01291-x]
  5. C. Y. Park, M. T. McCann, C. Garcia-Cardona, B. Wohlberg, and U. S. Kamilov, “Random walks with Tweedie: A unified framework for diffusion models,” IEEE Signal Processing Magazine, vol. 42, no. 3, pp. 40–51, May 2025.
    [Project Page] [10.1109/MSP.2025.3590608] [arXiv:2411.18702] [code]