phase retrieval

Robust Gradient Descent for Phase Retrieval AISTATS 2025 Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models AAAI 2025 Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024 Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift ICLR 2024 Robust Angular Synchronization via Directed Graph Neural Networks ICLR 2024 Learning Conditional Generative Models for Phase Retrieval JMLR 2023 Near Optimal Heteroscedastic Regression with Symbiotic Learning COLT 2023 Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval JMLR 2023 Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression COLT 2023 Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation AAAI 2023 Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions ICLR 2022 Generative Principal Component Analysis ICLR 2022 Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression NeurIPS 2022 Misspecified Phase Retrieval with Generative Priors NeurIPS 2022 Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics CVPR 2022 Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model NeurIPS 2021 Bandit Phase Retrieval NeurIPS 2021 Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning JMLR 2021 Generative Patch Priors for Practical Compressive Image Recovery WACV 2021 On InstaHide, Phase Retrieval, and Sparse Matrix Factorization ICLR 2021 Online stochastic gradient descent on non-convex losses from high-dimensional inference JMLR 2021 Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging CVPR 2021 Agnostic Estimation for Phase Retrieval JMLR 2020 Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval NeurIPS 2020 Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices NeurIPS 2020