Greg Ongie

43 papers A* 6B 2Misc 1Journal 23Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
ReLU Neural Networks with Linear Layers Are Biased towards Single- and Multi-index Models.
SIAM J. Math. Data Sci.
Suzanna Parkinson, Greg Ongie, Rebecca Willett
2025 A* conf
When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets.
ICML
Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli, Daniel Soudry
2025 J jnl
When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets.
CoRR
Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli, Daniel Soudry
2024 A* conf
Depth Separation in Norm-Bounded Infinite-Width Neural Networks.
COLT
Suzanna Parkinson, Greg Ongie, Rebecca Willett, Ohad Shamir, Nathan Srebro
2024 J jnl
Depth Separation in Norm-Bounded Infinite-Width Neural Networks.
CoRR
Suzanna Parkinson, Greg Ongie, Rebecca Willett, Ohad Shamir, Nathan Srebro
2023 A* conf
How do Minimum-Norm Shallow Denoisers Look in Function Space?
NeurIPS
Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry
2023 J jnl
How do Minimum-Norm Shallow Denoisers Look in Function Space?
CoRR
Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry
2023 — conf
Learning-Based Material Decomposition in Dual Energy CT Using an Unrolled Estimator.
ISBI
Megan Lantz, Greg Ongie
2023 J jnl
Linear Neural Network Layers Promote Learning Single- and Multiple-Index Models.
CoRR
Suzanna Parkinson, Greg Ongie, Rebecca Willett
2023 A* conf
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks.
ICLR
Mor Shpigel Nacson, Rotem Mulayoff, Greg Ongie, Tomer Michaeli, Daniel Soudry
2023 J jnl
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks.
CoRR
Mor Shpigel Nacson, Rotem Mulayoff, Greg Ongie, Tomer Michaeli, Daniel Soudry
2022 J jnl
The Role of Linear Layers in Nonlinear Interpolating Networks.
CoRR
Greg Ongie, Rebecca Willett
2021 — conf
A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction.
Image Perception, Observer Performance, and Technology Assessment
John Paul Phillips, Emil Y. Sidky, Greg Ongie, Weimin Zhou, Juan-Pablo Cruz-Bastida, Ingrid S. Reiser, Mark A. Anastasio, Xiaochuan Pan
2021 — conf
Model Adaptation In Biomedical Image Reconstruction.
ISBI
Davis Gilton, Greg Ongie, Rebecca Willett
2021 J jnl
Tensor Methods for Nonlinear Matrix Completion.
SIAM J. Math. Data Sci.
Greg Ongie, Daniel L. Pimentel-Alarcón, Laura Balzano, Rebecca Willett, Robert D. Nowak
2020 A* conf
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case.
ICLR
Greg Ongie, Rebecca Willett, Daniel Soudry, Nathan Srebro
2020 J jnl
Neumann Networks for Linear Inverse Problems in Imaging.
IEEE Trans. Computational Imaging
Davis Gilton, Greg Ongie, Rebecca Willett
2019 J jnl
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case.
CoRR
Greg Ongie, Rebecca Willett, Daniel Soudry, Nathan Srebro
2019 — conf
Learned Patch-Based Regularization for Inverse Problems in Imaging.
CAMSAP
Davis Gilton, Greg Ongie, Rebecca Willett
2019 — conf
Learning to Regularize Using Neumann Networks.
DSW
Davis Gilton, Greg Ongie, Rebecca Willett
2019 J jnl
Neumann Networks for Inverse Problems in Imaging.
CoRR
Davis Gilton, Greg Ongie, Rebecca Willett
2018 J jnl
Convex Recovery of Continuous Domain Piecewise Constant Images From Nonuniform Fourier Samples.
IEEE Trans. Signal Process.
Greg Ongie, Sampurna Biswas, Mathews Jacob
2018 — conf
Online Estimation of Coherent Subspaces with Adaptive Sampling.
SSP
Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano
2018 J jnl
Tensor Methods for Nonlinear Matrix Completion.
CoRR
Greg Ongie, Laura Balzano, Daniel L. Pimentel-Alarcón, Rebecca Willett, Robert D. Nowak
2017 A* conf
Algebraic Variety Models for High-Rank Matrix Completion.
ICML
Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano
2017 J jnl
Convex recovery of continuous domain piecewise constant images from non-uniform Fourier samples.
CoRR
Greg Ongie, Sampurna Biswas, Mathews Jacob
2017 — conf
Efficient computation of regularized field map estimates in 3D.
ISBI
Greg Ongie, Junyun Shi, Jeffrey A. Fessler
2017 Misc conf
Enhanced online subspace estimation via adaptive sensing.
ACSSC
Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano
2017 — conf
Online dynamic MRI reconstruction via robust subspace tracking.
GlobalSIP
Greg Ongie, Saket Dewangan, Jeffrey A. Fessler, Laura Balzano
2016 — conf
A fast algorithm for structured low-rank matrix recovery with applications to undersampled MRI reconstruction.
ISBI
Greg Ongie, Mathews Jacob
2016 B conf
Accelerated dynamic MRI using structured low rank matrix completion.
ICIP
Arvind Balachandrasekaran, Greg Ongie, Mathews Jacob
2016 J jnl
GIRAF: A Fast Algorithm for Structured Low-Rank Matrix Recovery.
CoRR
Greg Ongie, Mathews Jacob
2016 J jnl
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples.
SIAM J. Imaging Sci.
Greg Ongie, Mathews Jacob
2016 B conf
Structured low-rank recovery of piecewise constant signals with performance guarantees.
ICIP
Greg Ongie, Sampurna Biswas, Mathews Jacob
2016 J jnl
Structured low-rank recovery of piecewise constant signals with performance guarantees.
CoRR
Greg Ongie, Sampurna Biswas, Mathews Jacob
2015 J jnl
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples.
CoRR
Greg Ongie, Mathews Jacob
2015 J jnl
Recovery of Discontinuous Signals Using Group Sparse Higher Degree Total Variation.
IEEE Signal Process. Lett.
Greg Ongie, Mathews Jacob
2015 J jnl
Recovery of Piecewise Smooth Images from Few Fourier Samples.
CoRR
Greg Ongie, Mathews Jacob
2015 J jnl
Super-resolution MRI Using Finite Rate of Innovation Curves.
CoRR
Greg Ongie, Mathews Jacob
2015 — conf
Super-resolution MRI using finite rate of innovation curves.
ISBI
Greg Ongie, Mathews Jacob
2014 J jnl
Generalized Higher Degree Total Variation (HDTV) Regularization.
IEEE Trans. Image Process.
Yue Hu, Greg Ongie, Sathish Ramani, Mathews Jacob
2014 — conf
Higher degree total variation for 3-D image recovery.
ISBI
Greg Ongie, Yue Hu, Mathews Jacob
2014 J jnl
Iterative Non-Local Shrinkage Algorithm for MR Image Reconstruction.
CoRR
Yasir Q. Mohsin, Greg Ongie, Mathews Jacob