| Online deep equilibrium learning for regularization by denoising J Liu, X Xu, W Gan, U Kamilov Advances in Neural Information Processing Systems 35, 25363-25376, 2022 | 34 | 2022 |
| Block coordinate plug-and-play methods for blind inverse problems W Gan, S Shoushtari, Y Hu, J Liu, H An, U Kamilov Advances in Neural Information Processing Systems 36, 2024 | 13 | 2024 |
| Dolph: Diffusion models for phase retrieval S Shoushtari, J Liu, US Kamilov arXiv preprint arXiv:2211.00529, 2022 | 8 | 2022 |
| Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis S Shoushtari*, J Liu*, EP Chandler, MS Asif, US Kamilov International Conference on Machine Learning (ICML), 2024 | 6 | 2024 |
| Deep model-based architectures for inverse problems under mismatched priors S Shoushtari, J Liu, Y Hu, US Kamilov IEEE Journal on Selected Areas in Information Theory 3 (3), 468-480, 2022 | 6 | 2022 |
| Robustness of deep equilibrium architectures to changes in the measurement model J Hu*, S Shoushtari*, Z Zou, J Liu, Z Sun, US Kamilov ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Diffusion models for phase retrieval in computational imaging S Shoushtari, J Liu, US Kamilov 2023 57th Asilomar Conference on Signals, Systems, and Computers, 779-783, 2023 | 2 | 2023 |
| TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy Z Zou, S Shoushtari, J Liu, J Zhang, P Judge, E Santana, A Lim, M Foston, ... arXiv preprint arXiv:2405.11064, 2024 | 1 | 2024 |
| Flair: A conditional diffusion framework with applications to face video restoration Z Zou, J Liu, S Shoushtari, Y Wang, W Gan, US Kamilov IEEE/CVF Winter Conference on Applications of Computer Vision, 2024 | 1 | 2024 |
| Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time Training EP Chandler, S Shoushtari, J Liu, MS Asif, US Kamilov 2023 IEEE 9th International Workshop on Computational Advances in Multi …, 2023 | 1 | 2023 |
| Emotion recognition using sparse graph analysis of brain connectivity S Shoushtari, H Mohammadzadeh, A Amini 2021 28th National and 6th International Iranian Conference on Biomedical …, 2021 | 1 | 2021 |
| Closed-Form Approximation of the Total Variation Proximal Operator EP Chandler, S Shoushtari, B Wohlberg, US Kamilov arXiv preprint arXiv:2412.07718, 2024 | | 2024 |
| Abstract PO2-28-09: Long-term Breast Cancer Risk Prediction in Black Women: External Validation of a Mammography-driven AI Model JH Lopez, Z Sun, S Shoushtari, U Kamilov, D Bennett, A Gastounioti Cancer Research 84 (9_Supplement), PO2-28-09-PO2-28-09, 2024 | | 2024 |
| PnP Restoration with Domain Adaptation for SANS S Shoushtari, EP Chandler, J Zhang, M Senanayake, SV Pingali, ... arXiv preprint arXiv:2403.10495, 2024 | | 2024 |
| Convergence of Nonconvex PnP-ADMM with MMSE Denoisers C Park*, S Shoushtari*, W Gan, US Kamilov 2023 IEEE 9th International Workshop on Computational Advances in Multi …, 2023 | | 2023 |
| Supplementary Material for “Online Deep Equilibrium Learning for Regularization by Denoising” J Liu, X Xu, W Gan, S Shoushtari, US Kamilov | | |
| ISSUE ON DEEP LEARNING METHODS FOR INVERSE PROBLEMS J Scarlett, R Heckel, MRD Rodrigues, P Hand, YC Eldar, S Shoushtari, ... | | |
Ulugbek S. KamilovAssociate Professor, Computational Imaging Group, Washington University in St. Louis (WashU)ยืนยันอีเมลแล้วที่ wustl.edu