RI-GAN models
Mars, Matthijs; Liaudat, Tobias; Whitney, Jessica; Betcke, Marta; McEwen, Jason;
RI-GAN models
These are the trained models and all the suplementary files to run the models used in the paper: http://arxiv.org/abs/2507.21270 The code can be found on: https://github.com/astro-informatics/rcGAN v2 also contains the training and test data
- CEA Saclay France
- University College London United Kingdom
- Leiden University Netherlands
- The Alan Turing Institute United Kingdom
conditional GAN, radio interferometry, generative modelling
conditional GAN, radio interferometry, generative modelling
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average
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