Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation

7 May 2020

Papers citing "Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation"

14 / 14 papers shown

Title
$Learning Trees of $\ell_0$-Minimization Problems$ Learning Trees of $\ell_0$ -Minimization Problems G. Welper 21 0 0 06 Feb 2023
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution Tushar Agarwal Nithin Sugavanam Emre Ertin GAN 21 2 0 30 Nov 2022
DINER: Disorder-Invariant Implicit Neural Representation Shaowen Xie Hao Zhu Zhen Liu Qi Zhang You Zhou Xun Cao Zhan Ma 29 30 0 15 Nov 2022
Practical Phase Retrieval Using Double Deep Image Priors Zhong Zhuang David Yang F. Hofmann David A. Barmherzig Ju Sun 38 13 0 02 Nov 2022
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI Thomas Yu T. Hilbert G. Piredda Arun A. Joseph G. Bonanno ... P. Omoumi Meritxell Bach Cuadra Erick Jorge Canales-Rodríguez Thomas Kober Jean-Philippe Thiran 29 5 0 29 Jan 2022
Early Stopping for Deep Image Prior Hengkang Wang Taihui Li Zhong Zhuang Tiancong Chen Hengyue Liang Ju Sun 26 63 0 11 Dec 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction Riccardo Barbano Johannes Leuschner Maximilian Schmidt Alexander Denker A. Hauptmann Peter Maass Bangti Jin 41 19 0 23 Nov 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 41 324 0 03 Aug 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 26 51 0 21 Jun 2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers Yilmaz Korkmaz S. Dar Mahmut Yurt Muzaffer Özbey Tolga Çukur ViT MedIm 27 190 0 15 May 2021
Generalization Guarantees for Neural Architecture Search with Train-Validation Split Samet Oymak Mingchen Li Mahdi Soltanolkotabi AI4CE OOD 36 13 0 29 Apr 2021
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures Aaron Berk 19 0 0 13 Oct 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 60 2,349 0 18 Jun 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020