https://openreview.net/forum?id=Wi1IlPePEP
Robust Gradient Descent for Phase Retrieval | OpenReview
Recent progress in robust statistical learning has mainly tackled convex problems, like mean estimation or linear regression, with non-convex challenges...
gradient descentphase retrievalrobustopenreview
https://deepai.org/publication/algorithms-for-poisson-phase-retrieval
Algorithms for Poisson Phase Retrieval | DeepAI
Apr 2, 2021 - 04/02/21 - This paper discusses algorithms for phase retrieval where the measurements follow independent Poisson distributions, using maximum...
phase retrievalalgorithmspoissondeepai
https://openreview.net/forum?id=7q3i7nLdeF
Phase Retrieval Using Double Deep Image Priors | OpenReview
Phase retrieval (PR) concerns the recovery of complex phases from complex magnitudes. We identify the connection between the difficulty level and the number...
phase retrievaldouble deepusingimagepriors
https://deepai.org/publication/phase-retrieval-for-fourier-ptychography-under-varying-amount-of-measurements
Phase retrieval for Fourier Ptychography under varying amount of measurements | DeepAI
May 9, 2018 - 05/09/18 - Fourier Ptychography is a recently proposed imaging technique that yields high-resolution images by computationally transcending t...
phase retrievalfourier ptychography
https://openreview.net/forum?id=--aQNMdJc9x
Misspecified Phase Retrieval with Generative Priors | OpenReview
We propose a novel two-step approach with provable guarantees for misspecified phase retrieval with generative priors.
phase retrievalgenerativepriorsopenreview
https://openreview.net/forum?id=j6YOCS0cyM
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior | OpenReview
Phase retrieval (PR) is a crucial problem in many imaging applications. This study focuses on resolving the holographic phase retrieval problem in situations...
phase retrievalpoissongaussianholographic
https://openreview.net/forum?id=fThfMoV7Ri
Bandit Phase Retrieval | OpenReview
We study a bandit version of phase retrieval and prove the minimax cumulative regret as well as simple regret.
phase retrievalbanditopenreview
https://openreview.net/forum?id=YAVE6jfeJb
Optimizing Intermediate Representations of Generative Models for Phase Retrieval | OpenReview
Phase retrieval is the problem of reconstructing images from magnitude-only measurements. In many real-world applications the problem is underdetermined. When...
generative modelsphase retrievaloptimizingintermediaterepresentations
https://deepai.org/publication/median-truncated-nonconvex-approach-for-phase-retrieval-with-outliers
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers | DeepAI
Mar 11, 2016 - 03/11/16 - This paper investigates the phase retrieval problem, which aims to recover a signal from the magnitudes of its linear measurements...
phase retrievalmediantruncatednonconvexapproach
https://arxiv.org/abs/1203.4756
[1203.4756] Numerical methods for phase retrieval
Abstract page for arXiv paper 1203.4756: Numerical methods for phase retrieval
numerical methods12034756phaseretrieval
https://www.frontiersin.org/journals/photonics/articles/10.3389/fphot.2022.865666/full
Frontiers | A Multi-Wavelength Phase Retrieval With Multi-Strategy for Lensfree On-Chip Holography
Due to convenient operation and robust imaging, multi-wavelength phase retrieval has been widely applied in lensfree on-chip digital holographic microscope (...
https://jmlr.org/papers/v24/22-0106.html
Learning Conditional Generative Models for Phase Retrieval
generative modelslearningconditionalphaseretrieval
https://www.osti.gov/biblio/1961770
Practical implementations of speckle-based phase-retrieval methods in Python and GPU for tomography...
https://www.mediawiki.org/wiki/Talk:Readers/Information_Retrieval/Phase_1
Talk:Readers/Information Retrieval/Phase 1 - MediaWiki
information retrievalphase 1talkreadersmediawiki
https://arxiv.org/abs/1003.4486
[1003.4486] Phase retrieval for characteristic functions of convex bodies and reconstruction from...
Abstract page for arXiv paper 1003.4486: Phase retrieval for characteristic functions of convex bodies and reconstruction from covariograms
https://www.nist.gov/publications/broadband-cars-spectral-phase-retrieval-using-time-domain-kramers-kronig-transform
Broadband CARS Spectral Phase Retrieval Using a Time-Domain Kramers-Kronig Transform | NIST
Oct 12, 2021 - We describe a closed-form approach for performing a Kramers-Kronig (KK) transform on data of finite frequency range; the method is analytically exact and comput