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Radio Interferometry

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Showing 1–20 of 20 papers

TitleStatusHype
Towards a robust R2D2 paradigm for radio-interferometric imaging: revisiting DNN training and architecture—0
S-R2D2: a spherical extension of the R2D2 deep neural network series paradigm for wide-field radio-interferometric imaging—0
IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priorsCode0
Energy and polarization based on-line interference mitigation in radio interferometryCode0
Self-supervised learning for radio-astronomy source classification: a benchmarkCode0
Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry—0
Reinforcement Learning for Data-Driven Workflows in Radio Interferometry. I. Principal Demonstration in Calibration—0
Compressive radio-interferometric sensing with random beamforming as rank-one signal covariance projections—0
Learned radio interferometric imaging for varying visibility coverageCode0
The AIRI plug-and-play algorithm for image reconstruction in radio-interferometry: variations and robustness—0
Bayesian Imaging for Radio Interferometry with Score-Based Priors—0
CLEANing Cygnus A deep and fast with R2D2—0
Une version polyatomique de l'algorithme Frank-Wolfe pour résoudre le problème LASSO en grandes dimensions—0
Image reconstruction algorithms in radio interferometry: from handcrafted to learned regularization denoisers—0
VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks—0
Statistical Performance of Radio Interferometric Calibration—0
DeepSource: Point Source Detection using Deep LearningCode0
Reconstructing Video from Interferometric Measurements of Time-Varying SourcesCode0
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters—0
A sparse Kaczmarz solver and a linearized Bregman method for online compressed sensing—0
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