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Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms

Dec 24, 2020
Arda Sahiner, Tolga Ergen, John Pauly, Mert Pilanci

* 24 pages, 6 figures 

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Convex Regularization Behind Neural Reconstruction

Dec 09, 2020
Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John Pauly


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Degrees of Freedom Analysis of Unrolled Neural Networks

Jun 10, 2019
Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John Pauly, David Donoho


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VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis

Jan 31, 2019
Vineet Edupuganti, Morteza Mardani, Joseph Cheng, Shreyas Vasanawala, John Pauly


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Deep Learning with Attention to Predict Gestational Age of the Fetal Brain

Dec 09, 2018
Liyue Shen, Katie Shpanskaya, Edward Lee, Emily McKenna, Maryam Maleki, Quin Lu, Safwan Halabi, John Pauly, Kristen Yeom

* NIPS Machine Learning for Health Workshop 2018, spotlight presentation 

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Neural Proximal Gradient Descent for Compressive Imaging

Jun 01, 2018
Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John Pauly, David Donoho

* arXiv admin note: text overlap with arXiv:1711.10046 

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200x Low-dose PET Reconstruction using Deep Learning

Dec 12, 2017
Junshen Xu, Enhao Gong, John Pauly, Greg Zaharchuk


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Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery

Nov 27, 2017
Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David Donoho, John Pauly

* 11 pages, 11 figures 

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