Greg Ongie

Orcid: 0000-0003-1417-3925

According to our database1, Greg Ongie authored at least 43 papers between 2014 and 2024.

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Bibliography

2024
Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function.
CoRR, 2024

Depth Separation in Norm-Bounded Infinite-Width Neural Networks.
CoRR, 2024

2023
Linear Neural Network Layers Promote Learning Single- and Multiple-Index Models.
CoRR, 2023

How do Minimum-Norm Shallow Denoisers Look in Function Space?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning-Based Material Decomposition in Dual Energy CT Using an Unrolled Estimator.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
The Role of Linear Layers in Nonlinear Interpolating Networks.
CoRR, 2022

Optimizing model observer performance in learning-based CT reconstruction.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

2021
Deep Equilibrium Architectures for Inverse Problems in Imaging.
IEEE Trans. Computational Imaging, 2021

Model Adaptation for Inverse Problems in Imaging.
IEEE Trans. Computational Imaging, 2021

Tensor Methods for Nonlinear Matrix Completion.
SIAM J. Math. Data Sci., 2021

A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction.
Proceedings of the Medical Imaging 2021: Image Perception, 2021

Model Adaptation In Biomedical Image Reconstruction.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Neumann Networks for Linear Inverse Problems in Imaging.
IEEE Trans. Computational Imaging, 2020

Deep Learning Techniques for Inverse Problems in Imaging.
IEEE J. Sel. Areas Inf. Theory, 2020

Supervised learning of model observers for assessment of CT image reconstruction algorithms.
Proceedings of the Medical Imaging 2020: Image Perception, 2020

A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Streaming Principal Component Analysis From Incomplete Data.
J. Mach. Learn. Res., 2019

Neumann Networks for Inverse Problems in Imaging.
CoRR, 2019

Learning to Regularize Using Neumann Networks.
Proceedings of the IEEE Data Science Workshop, 2019

Learned Patch-Based Regularization for Inverse Problems in Imaging.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Convex Recovery of Continuous Domain Piecewise Constant Images From Nonuniform Fourier Samples.
IEEE Trans. Signal Process., 2018

Online Estimation of Coherent Subspaces with Adaptive Sampling.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017
A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery.
IEEE Trans. Computational Imaging, 2017

Convex recovery of continuous domain piecewise constant images from non-uniform Fourier samples.
CoRR, 2017

Efficient computation of regularized field map estimates in 3D.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Algebraic Variety Models for High-Rank Matrix Completion.
Proceedings of the 34th International Conference on Machine Learning, 2017

Online dynamic MRI reconstruction via robust subspace tracking.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Low algebraic dimension matrix completion.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Enhanced online subspace estimation via adaptive sensing.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples.
SIAM J. Imaging Sci., 2016

GIRAF: A Fast Algorithm for Structured Low-Rank Matrix Recovery.
CoRR, 2016

A fast algorithm for structured low-rank matrix recovery with applications to undersampled MRI reconstruction.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Structured low-rank recovery of piecewise constant signals with performance guarantees.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Accelerated dynamic MRI using structured low rank matrix completion.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Iterative Shrinkage Algorithm for Patch-Smoothness Regularized Medical Image Recovery.
IEEE Trans. Medical Imaging, 2015

Recovery of Discontinuous Signals Using Group Sparse Higher Degree Total Variation.
IEEE Signal Process. Lett., 2015

Recovery of Piecewise Smooth Images from Few Fourier Samples.
CoRR, 2015

Super-resolution MRI using finite rate of innovation curves.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Generalized Higher Degree Total Variation (HDTV) Regularization.
IEEE Trans. Image Process., 2014

Iterative Non-Local Shrinkage Algorithm for MR Image Reconstruction.
CoRR, 2014

Higher degree total variation for 3-D image recovery.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Accelerated MRI using iterative non-local shrinkage.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014


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