Greg Ongie

CoRR, June, 2025

ReLU Neural Networks with Linear Layers Are Biased towards Single- and Multi-index Models.

[BibT_eX]

[DOI]

Suzanna Parkinson

SIAM J. Math. Data Sci., 2025

ACcelerated Optimization of Implicit Neural Representations for CT Reconstruction.

[BibT_eX]

[DOI]

Mahrokh Najaf

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Depth Separation in Norm-Bounded Infinite-Width Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Towards a Sampling Theory for Implicit Neural Representations.

[BibT_eX]

[DOI]

Mahrokh Najaf

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

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

[BibT_eX]

[DOI]

Suzanna Parkinson

CoRR, 2023

How do Minimum-Norm Shallow Denoisers Look in Function Space?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Megan Lantz

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

The Role of Linear Layers in Nonlinear Interpolating Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Optimizing model observer performance in learning-based CT reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2022: Image Perception, 2022

2021

Deep Equilibrium Architectures for Inverse Problems in Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2021

Model Adaptation for Inverse Problems in Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2021

Tensor Methods for Nonlinear Matrix Completion.

[BibT_eX]

[DOI]

Daniel L. Pimentel-Alarcón

Laura Balzano

Robert D. Nowak

SIAM J. Math. Data Sci., 2021

A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction.

[BibT_eX]

[DOI]

Juan-Pablo Cruz-Bastida

Ingrid S. Reiser

Mark A. Anastasio

Xiaochuan Pan

Proceedings of the Medical Imaging 2021: Image Perception, 2021

Model Adaptation In Biomedical Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Neumann Networks for Linear Inverse Problems in Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

Deep Learning Techniques for Inverse Problems in Imaging.

[BibT_eX]

[DOI]

Ajil Jalal

Christopher A. Metzler

Richard G. Baraniuk

Alexandros G. Dimakis

IEEE J. Sel. Areas Inf. Theory, 2020

Supervised learning of model observers for assessment of CT image reconstruction algorithms.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Perception, 2020

A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Streaming Principal Component Analysis From Incomplete Data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

Neumann Networks for Inverse Problems in Imaging.

[BibT_eX]

[DOI]

CoRR, 2019

Learning to Regularize Using Neumann Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Data Science Workshop, 2019

Learned Patch-Based Regularization for Inverse Problems in Imaging.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sampurna Biswas

IEEE Trans. Signal Process., 2018

Online Estimation of Coherent Subspaces with Adaptive Sampling.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2017

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

[BibT_eX]

[DOI]

Sampurna Biswas

CoRR, 2017

Efficient computation of regularized field map estimates in 3D.

[BibT_eX]

[DOI]

Daniel L. Pimentel-Alarcón

Junyun Shi

Jeffrey A. Fessler

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Algebraic Variety Models for High-Rank Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Online dynamic MRI reconstruction via robust subspace tracking.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Low algebraic dimension matrix completion.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Enhanced online subspace estimation via adaptive sensing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

A fast algorithm for structured low-rank matrix recovery with applications to undersampled MRI reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Structured low-rank recovery of piecewise constant signals with performance guarantees.

[BibT_eX]

[DOI]

Sampurna Biswas

Arvind Balachandrasekaran

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Accelerated dynamic MRI using structured low rank matrix completion.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Iterative Shrinkage Algorithm for Patch-Smoothness Regularized Medical Image Recovery.

[BibT_eX]

[DOI]

Yasir Q. Mohsin

IEEE Trans. Medical Imaging, 2015

Recovery of Discontinuous Signals Using Group Sparse Higher Degree Total Variation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

Recovery of Piecewise Smooth Images from Few Fourier Samples.

[BibT_eX]

[DOI]

CoRR, 2015

Super-resolution MRI using finite rate of innovation curves.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Generalized Higher Degree Total Variation (HDTV) Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

Iterative Non-Local Shrinkage Algorithm for MR Image Reconstruction.

[BibT_eX]

[DOI]

Yasir Q. Mohsin

CoRR, 2014

Higher degree total variation for 3-D image recovery.

[BibT_eX]

[DOI]

Yue Hu

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Accelerated MRI using iterative non-local shrinkage.

[BibT_eX]

[DOI]

Yasir Q. Mohsin