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01/10/2023
Hint assisted reinforcement learning: an application in radio astronomy
Model based reinforcement learning has proven to be more sample efficien...
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10/13/2021
Spatially constrained direction dependent calibration
Direction dependent calibration of widefield radio interferometers estim...
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02/05/2021
Deep reinforcement learning for smart calibration of radio telescopes
Modern radio telescopes produce unprecedented amounts of data, which are...
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05/29/2020
Polarization-based online interference mitigation in radio interferometry
Mitigation of radio frequency interference (RFI) is essential to deliver...
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03/02/2020
Stochastic Calibration of Radio Interferometers
With ever increasing data rates produced by modern radio telescopes like...
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04/11/2019
A Stochastic LBFGS Algorithm for Radio Interferometric Calibration
We present a stochastic, limited-memory Broyden Fletcher Goldfarb Shanno...
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02/27/2019
Statistical Performance of Radio Interferometric Calibration
Calibration is an essential step in radio interferometric data processin...
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05/01/2018
Performance Analysis of Distributed Radio Interferometric Calibration
Distributed calibration based on consensus optimization is a computation...
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01/29/2018
Distributed Model Construction in Radio Interferometric Calibration
Calibration of a typical radio interferometric array yields thousands of...
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11/28/2017
Data Multiplexing in Radio Interferometric Calibration
New and upcoming radio interferometers will produce unprecedented amount...
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10/16/2017