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1807.04261
Cited By
Phase Retrieval Under a Generative Prior
11 July 2018
Paul Hand
Oscar Leong
V. Voroninski
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Papers citing
"Phase Retrieval Under a Generative Prior"
50 / 111 papers shown
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A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm
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Undersampled Phase Retrieval with Image Priors
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M. Unser
Jonathan Dong
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Learning Single Index Models with Diffusion Priors
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Shuchen Xue
Zhaoqiang Liu
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316
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27 May 2025
PtyGenography: using generative models for regularization of the phase retrieval problem
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Selin Aslan
Tristan van Leeuwen
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Palina Salanevich
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03 Feb 2025
Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime
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Generalized Eigenvalue Problems with Generative Priors
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Chasing Better Deep Image Priors between Over- and Under-parameterization
Qiming Wu
Xiaohan Chen
Lezhi Li
Zhangyang Wang
389
1
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31 Oct 2024
Injectivity capacity of ReLU gates
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250
3
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28 Oct 2024
Robust Gradient Descent for Phase Retrieval
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Alex Buna
Patrick Rebeschini
OOD
205
1
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14 Oct 2024
The Star Geometry of Critic-Based Regularizer Learning
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Oscar Leong
Eliza O'Reilly
Yong Sheng Soh
AAML
413
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29 Aug 2024
Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation
S. K. Shastri
Philip Schniter
442
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12 Jul 2024
Asymptotics of Learning with Deep Structured (Random) Features
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Daniil Dmitriev
Hugo Cui
Bruno Loureiro
324
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21 Feb 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
Alexander Auras
Kanchana Vaishnavi Gandikota
Hannah Droege
Michael Moeller
AAML
289
1
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19 Feb 2024
Coordinate-based Neural Network for Fourier Phase Retrieval
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Tingyou Li
Zixin Xu
Yong S. Chu
Xiaojing Huang
Jizhou Li
271
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25 Nov 2023
Acceleration and Implicit Regularization in Gaussian Phase Retrieval
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Tyler Maunu
M. Molina-Fructuoso
367
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0
21 Nov 2023
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
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Junren Chen
Jonathan Scarlett
Michael K. Ng
Zhaoqiang Liu
FedML
416
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25 Sep 2023
Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors
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Junren Chen
Shuai Huang
Michael K. Ng
Zhaoqiang Liu
306
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16 Sep 2023
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
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Zalan Fabian
Berk Tınaz
Mahdi Soltanolkotabi
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292
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12 Sep 2023
On the use of deep learning for phase recovery
Light: Science & Applications (Light Sci. Appl.), 2023
Kaiqiang Wang
Li Song
Chutian Wang
Zhenbo Ren
Guangyuan Zhao
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George Barbastathis
Renjie Zhou
Jianlin Zhao
E. Lam
269
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02 Aug 2023
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Hongxia Wang
N.-Y. Leng
Ziyang Yuan
279
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16 Jul 2023
Leveraging Variational Autoencoders for Parameterized MMSE Estimation
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Michael Baur
B. Fesl
Wolfgang Utschick
259
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Brett Levac
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Jonathan I. Tamir
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Jonathan I. Tamir
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JoIN: Joint GANs Inversion for Intrinsic Image Decomposition
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Svetlana Lazebnik
Julien Philip
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18 May 2023
Discovering Structure From Corruption for Unsupervised Image Reconstruction
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Angela F. Gao
He Sun
Katherine Bouman
271
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12 Apr 2023
Inverse problem regularization with hierarchical variational autoencoders
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Jean Prost
Antoine Houdard
Andrés Almansa
Nicolas Papadakis
387
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20 Mar 2023
Deterministic equivalent and error universality of deep random features learning
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Dominik Schröder
Hugo Cui
Daniil Dmitriev
Bruno Loureiro
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342
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01 Feb 2023
Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval
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Rohun Agrawal
Oscar Leong
249
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Optimization for Amortized Inverse Problems
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Tong Yang
Quan Zhang
Qi Lei
357
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25 Oct 2022
Misspecified Phase Retrieval with Generative Priors
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254
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Deep Invertible Approximation of Topologically Rich Maps between Manifolds
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Matti Lassas
Ivan Dokmanić
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Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors
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Zhaoqiang Liu
J. Han
270
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Aaron Berk
Simone Brugiapaglia
Babhru Joshi
Y. Plan
Matthew Scott
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341
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19 Jul 2022
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Jonathan Scarlett
Reinhard Heckel
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Paul Hand
Yonina C. Eldar
AI4CE
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29 Jun 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems
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Y. Dagan
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382
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18 Jun 2022
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
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Qingqing Zhao
David B. Lindell
Gordon Wetzstein
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Non-Iterative Recovery from Nonlinear Observations using Generative Models
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Jiulong Liu
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373
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Optimizing Intermediate Representations of Generative Models for Phase Retrieval
Tobias Uelwer
S. Konietzny
Stefan Harmeling
438
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Signal Recovery with Non-Expansive Generative Network Priors
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Jorio Cocola
304
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A Note on the Regularity of Images Generated by Convolutional Neural Networks
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Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors
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Thanh-an Michel Pham
Jonathan Dong
M. Unser
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Generative Principal Component Analysis
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Jiulong Liu
Subhro Ghosh
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TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence
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Christopher A. Metzler
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