Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk

22 May 2017

Papers citing "Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk"

42 / 42 papers shown

Title
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing Junren Chen Jonathan Scarlett Michael K. Ng Zhaoqiang Liu FedML 32 6 0 25 Sep 2023
Generative adversarial networks with physical sound field priors X. Karakonstantis Efren Fernandez-Grande GAN 27 12 0 01 Aug 2023
$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
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 36 5 0 25 Oct 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 43 4 0 11 Oct 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras Y. Dagan A. Dimakis C. Daskalakis BDL 31 15 0 18 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 38 11 0 31 May 2022
Signal Recovery with Non-Expansive Generative Network Priors Jorio Cocola 21 1 0 24 Apr 2022
Consistent Approximations in Composite Optimization J. Royset 21 8 0 13 Jan 2022
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 41 322 0 03 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 29 34 0 22 Jul 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 26 51 0 21 Jun 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 63 507 0 14 Jan 2021
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate Ruangrawee Kitichotkul Christopher A. Metzler Frank Ong Gordon Wetzstein UQCV 44 8 0 25 Oct 2020
DeepInit Phase Retrieval M. Reiche P. Jung 27 3 0 16 Jul 2020
When and How Can Deep Generative Models be Inverted? Aviad Aberdam Dror Simon Michael Elad 21 13 0 28 Jun 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 24 26 0 15 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 13 520 0 12 May 2020
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation Reinhard Heckel Mahdi Soltanolkotabi 6 79 0 07 May 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 64 36 0 18 Mar 2020
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors Zhaoqiang Liu S. Gomes Avtansh Tiwari Jonathan Scarlett 29 27 0 05 Feb 2020
Inference in Multi-Layer Networks with Matrix-Valued Unknowns Parthe Pandit Mojtaba Sahraee-Ardakan S. Rangan P. Schniter A. Fletcher 23 6 0 26 Jan 2020
Image Processing Using Multi-Code GAN Prior Jinjin Gu Yujun Shen Bolei Zhou GAN 30 315 0 15 Dec 2019
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models Giannis Daras Augustus Odena Han Zhang A. Dimakis 35 54 0 27 Nov 2019
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators Reinhard Heckel Mahdi Soltanolkotabi DiffM 35 81 0 31 Oct 2019
Learning-Based Low-Rank Approximations Piotr Indyk A. Vakilian Yang Yuan 37 67 0 30 Oct 2019
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems Oscar Leong W. Sakla GAN 14 7 0 23 Oct 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Shuang Qiu Xiaohan Wei Zhuoran Yang 32 24 0 14 Aug 2019
Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre Gómez Armin Eftekhari V. Cevher GAN 30 43 0 07 Jul 2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias Muhammad Asim Max Daniels Oscar Leong Ali Ahmed Paul Hand 23 146 0 28 May 2019
Asymptotics of MAP Inference in Deep Networks Parthe Pandit Mojtaba Sahraee S. Rangan A. Fletcher 21 21 0 01 Mar 2019
Subgradient Descent Learns Orthogonal Dictionaries Yu Bai Qijia Jiang Ju Sun 17 51 0 25 Oct 2018
Algorithmic Aspects of Inverse Problems Using Generative Models C. Hegde GAN 25 21 0 08 Oct 2018
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 23 280 0 02 Oct 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 33 178 0 17 Jun 2018
Unsupervised Learning with Stein's Unbiased Risk Estimator Christopher A. Metzler Ali Mousavi Reinhard Heckel Richard G. Baraniuk OOD 26 103 0 26 May 2018
Rate-Optimal Denoising with Deep Neural Networks Reinhard Heckel Wen Huang Paul Hand V. Voroninski 24 23 0 22 May 2018
SUNLayer: Stable denoising with generative networks D. Mixon Soledad Villar 22 21 0 25 Mar 2018
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences Yuxin Chen Emmanuel Candes 37 92 0 19 Sep 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 251 2,550 0 25 Jan 2016