Greg Ongie

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Topics

Piecewise Constant

Image Reconstruction

Inverse Problems

Total Variation

Top Venues

Publications

Suzanna Parkinson, Greg Ongie, Rebecca Willett, Ohad Shamir, Nathan Srebro
Depth Separation in Norm-Bounded Infinite-Width Neural Networks. COLT (2024)
Suzanna Parkinson, Greg Ongie, Rebecca Willett, Ohad Shamir, Nathan Srebro
Depth Separation in Norm-Bounded Infinite-Width Neural Networks. CoRR (2024)
Mor Shpigel Nacson, Rotem Mulayoff, Greg Ongie, Tomer Michaeli, Daniel Soudry
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks. CoRR (2023)
Mor Shpigel Nacson, Rotem Mulayoff, Greg Ongie, Tomer Michaeli, Daniel Soudry
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks. ICLR (2023)
Suzanna Parkinson, Greg Ongie, Rebecca Willett
Linear Neural Network Layers Promote Learning Single- and Multiple-Index Models. CoRR (2023)
Megan Lantz, Greg Ongie
Learning-Based Material Decomposition in Dual Energy CT Using an Unrolled Estimator. ISBI (2023)
Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry
How do Minimum-Norm Shallow Denoisers Look in Function Space? CoRR (2023)
Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry
How do Minimum-Norm Shallow Denoisers Look in Function Space? NeurIPS (2023)
Greg Ongie, Rebecca Willett
The Role of Linear Layers in Nonlinear Interpolating Networks. CoRR (2022)
Davis Gilton, Greg Ongie, Rebecca Willett
Model Adaptation In Biomedical Image Reconstruction. ISBI (2021)
Greg Ongie, Daniel L. Pimentel-Alarcón, Laura Balzano, Rebecca Willett, Robert D. Nowak
Tensor Methods for Nonlinear Matrix Completion. SIAM J. Math. Data Sci. 3 (1) (2021)
John Paul Phillips, Emil Y. Sidky, Greg Ongie, Weimin Zhou, Juan-Pablo Cruz-Bastida, Ingrid S. Reiser, Mark A. Anastasio, Xiaochuan Pan
A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Davis Gilton, Greg Ongie, Rebecca Willett
Neumann Networks for Linear Inverse Problems in Imaging. IEEE Trans. Computational Imaging 6 (2020)
Greg Ongie, Rebecca Willett, Daniel Soudry, Nathan Srebro
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case. ICLR (2020)
Davis Gilton, Greg Ongie, Rebecca Willett
Learned Patch-Based Regularization for Inverse Problems in Imaging. CAMSAP (2019)
Greg Ongie, Rebecca Willett, Daniel Soudry, Nathan Srebro
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case. CoRR (2019)
Davis Gilton, Greg Ongie, Rebecca Willett
Learning to Regularize Using Neumann Networks. DSW (2019)
Davis Gilton, Greg Ongie, Rebecca Willett
Neumann Networks for Inverse Problems in Imaging. CoRR (2019)
Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano
Online Estimation of Coherent Subspaces with Adaptive Sampling. SSP (2018)
Greg Ongie, Sampurna Biswas, Mathews Jacob
Convex Recovery of Continuous Domain Piecewise Constant Images From Nonuniform Fourier Samples. IEEE Trans. Signal Process. 66 (1) (2018)
Greg Ongie, Laura Balzano, Daniel L. Pimentel-Alarcón, Rebecca Willett, Robert D. Nowak
Tensor Methods for Nonlinear Matrix Completion. CoRR (2018)
Greg Ongie, Sampurna Biswas, Mathews Jacob
Convex recovery of continuous domain piecewise constant images from non-uniform Fourier samples. CoRR (2017)
Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano
Algebraic Variety Models for High-Rank Matrix Completion. ICML (2017)
Greg Ongie, Junyun Shi, Jeffrey A. Fessler
Efficient computation of regularized field map estimates in 3D. ISBI (2017)
Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano
Enhanced online subspace estimation via adaptive sensing. ACSSC (2017)
Greg Ongie, Saket Dewangan, Jeffrey A. Fessler, Laura Balzano
Online dynamic MRI reconstruction via robust subspace tracking. GlobalSIP (2017)
Greg Ongie, Mathews Jacob
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples. SIAM J. Imaging Sci. 9 (3) (2016)
Greg Ongie, Mathews Jacob
A fast algorithm for structured low-rank matrix recovery with applications to undersampled MRI reconstruction. ISBI (2016)
Arvind Balachandrasekaran, Greg Ongie, Mathews Jacob
Accelerated dynamic MRI using structured low rank matrix completion. ICIP (2016)
Greg Ongie, Sampurna Biswas, Mathews Jacob
Structured low-rank recovery of piecewise constant signals with performance guarantees. ICIP (2016)
Greg Ongie, Sampurna Biswas, Mathews Jacob
Structured low-rank recovery of piecewise constant signals with performance guarantees. CoRR (2016)
Greg Ongie, Mathews Jacob
GIRAF: A Fast Algorithm for Structured Low-Rank Matrix Recovery. CoRR (2016)
Greg Ongie, Mathews Jacob
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples. CoRR (2015)
Greg Ongie, Mathews Jacob
Recovery of Piecewise Smooth Images from Few Fourier Samples. CoRR (2015)
Greg Ongie, Mathews Jacob
Super-resolution MRI using finite rate of innovation curves. ISBI (2015)
Greg Ongie, Mathews Jacob
Super-resolution MRI Using Finite Rate of Innovation Curves. CoRR (2015)
Greg Ongie, Mathews Jacob
Recovery of Discontinuous Signals Using Group Sparse Higher Degree Total Variation. IEEE Signal Process. Lett. 22 (9) (2015)
Yasir Q. Mohsin, Greg Ongie, Mathews Jacob
Iterative Non-Local Shrinkage Algorithm for MR Image Reconstruction. CoRR (2014)
Greg Ongie, Yue Hu, Mathews Jacob
Higher degree total variation for 3-D image recovery. ISBI (2014)
Yue Hu, Greg Ongie, Sathish Ramani, Mathews Jacob
Generalized Higher Degree Total Variation (HDTV) Regularization. IEEE Trans. Image Process. 23 (6) (2014)