| Deep learning techniques for inverse problems in imaging G Ongie, A Jalal, CA Metzler, RG Baraniuk, AG Dimakis, R Willett IEEE Journal on Selected Areas in Information Theory 1 (1), 39-56, 2020 | 675 | 2020 |
| Deep equilibrium architectures for inverse problems in imaging D Gilton, G Ongie, R Willett IEEE Transactions on Computational Imaging 7, 1123-1133, 2021 | 222 | 2021 |
| Neumann networks for linear inverse problems in imaging D Gilton, G Ongie, R Willett IEEE Transactions on Computational Imaging 6, 328-343, 2019 | 176 | 2019 |
| A function space view of bounded norm infinite width relu nets: The multivariate case G Ongie, R Willett, D Soudry, N Srebro arXiv preprint arXiv:1910.01635, 2019 | 166 | 2019 |
| Off-the-grid recovery of piecewise constant images from few Fourier samples G Ongie, M Jacob SIAM Journal on Imaging Sciences 9 (3), 1004-1041, 2016 | 155 | 2016 |
| A fast algorithm for convolutional structured low-rank matrix recovery G Ongie, M Jacob IEEE Transactions on Computational Imaging 3 (4), 535-550, 2017 | 111* | 2017 |
| Generalized higher degree total variation (HDTV) regularization Y Hu, G Ongie, S Ramani, M Jacob IEEE transactions on image processing 23 (6), 2423-2435, 2014 | 78 | 2014 |
| Algebraic variety models for high-rank matrix completion G Ongie, R Willett, RD Nowak, L Balzano Proceedings of the 34th International Conference on Machine Learning 70 …, 2017 | 73 | 2017 |
| Model adaptation for inverse problems in imaging D Gilton, G Ongie, R Willett IEEE Transactions on Computational Imaging 7, 661-674, 2021 | 64 | 2021 |
| Convex Recovery of Continuous Domain Piecewise Constant Images From Nonuniform Fourier Samples G Ongie, S Biswas, M Jacob IEEE Transactions on Signal Processing 66 (1), 236 - 250, 2018 | 50* | 2018 |
| Super-resolution MRI using finite rate of innovation curves G Ongie, M Jacob 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1248-1251, 2015 | 40 | 2015 |
| Iterative shrinkage algorithm for patch-smoothness regularized medical image recovery YQ Mohsin, G Ongie, M Jacob IEEE Transactions on Medical Imaging 34 (12), 2417-2428, 2015 | 30 | 2015 |
| Tensor methods for nonlinear matrix completion G Ongie, D Pimentel-Alarcón, L Balzano, R Willett, RD Nowak SIAM Journal on Mathematics of Data Science 3 (1), 253-279, 2021 | 25 | 2021 |
| Linear neural network layers promote learning single-and multiple-index models S Parkinson, G Ongie, R Willett arXiv preprint arXiv:2305.15598, 2023 | 16 | 2023 |
| Learned patch-based regularization for inverse problems in imaging D Gilton, G Ongie, R Willett 2019 ieee 8th international workshop on computational advances in multi …, 2019 | 15 | 2019 |
| Low Algebraic Dimension Matrix Completion D Pimentel-Alarcón, G Ongie, L Balzano, R Willett, R Nowak 55th Annual Allerton Conference on Communication, Control, and Computing, 2017 | 14 | 2017 |
| The role of linear layers in nonlinear interpolating networks G Ongie, R Willett arXiv preprint arXiv:2202.00856, 2022 | 12 | 2022 |
| Streaming principal component analysis from incomplete data A Eftekhari, G Ongie, L Balzano, MB Wakin Journal of Machine Learning Research 20 (86), 1-62, 2019 | 12 | 2019 |
| Recovery of discontinuous signals using group sparse higher degree total variation G Ongie, M Jacob IEEE Signal Processing Letters 22 (9), 1414-1418, 2015 | 12 | 2015 |
| A signal detection model for quantifying overregularization in nonlinear image reconstruction EY Sidky, JP Phillips, W Zhou, G Ongie, JP Cruz‐Bastida, IS Reiser, ... Medical physics 48 (10), 6312-6323, 2021 | 11 | 2021 |
Rebecca WillettUniversity of Chicago, Professor of Statistics and Computer Scienceuchicago.edu의 이메일 확인됨