conftrace_

phase retrieval

57 papers

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PR

Co-occurring keywords

non-convex optimization (547) compressed sensing (201) signal recovery (54) compressive sensing (126) convex optimization (1321) gradient descent (1144) spectral initialization (13) signal reconstruction (43) image reconstruction (671) generative prior (55)

Papers

Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models AAAI 2025
Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024
Learning Conditional Generative Models for Phase Retrieval JMLR 2023
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval JMLR 2023
Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation AAAI 2023
Near Optimal Heteroscedastic Regression with Symbiotic Learning COLT 2023
Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics CVPR 2022
Misspecified Phase Retrieval with Generative Priors NIPS 2022
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression NIPS 2022
Generative Patch Priors for Practical Compressive Image Recovery WACV 2021
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model NIPS 2021
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning JMLR 2021
Bandit Phase Retrieval NIPS 2021
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging CVPR 2021
Online stochastic gradient descent on non-convex losses from high-dimensional inference JMLR 2021
Phase retrieval in high dimensions: Statistical and computational phase transitions NIPS 2020
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices NIPS 2020
When deep denoising meets iterative phase retrieval ICML 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems ICML 2020
Agnostic Estimation for Phase Retrieval JMLR 2020
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval NIPS 2020
Constant-Expansion Suffices for Compressed Sensing with Generative Priors NIPS 2020
Phaseless PCA: Low-Rank Matrix Recovery from Column-wise Phaseless Measurements ICML 2019
Don't take it lightly: Phasing optical random projections with unknown operators NIPS 2019
Generalized Approximate Survey Propagation for High-Dimensional Estimation ICML 2019