ASCL Code Record
[ascl:2401.017]
QuantifAI: Radio interferometric imaging reconstruction with scalable Bayesian uncertainty quantification
Liaudat, Tobías I.; Mars, Matthijs; Price, Matthew A.; Pereyra, Marcelo; Betcke, Marta M.; McEwen, Jason D.
QuantifAI reconstructs radio interferometric images using scalable Bayesian uncertainty quantification relying on data-driven (learned) priors. It relies on the convex accelerated optimization algorithms in CRR (ascl:2401.016) and is built on top of PyTorch. QuantifAI also includes MCMC algorithms for posterior sampling.
- Code site:
- https://github.com/astro-informatics/QuantifAI
- Described in:
- https://ui.adsabs.harvard.edu/abs/2023arXiv231200125L
- Bibcode:
- 2024ascl.soft01017L
Preferred citation method:
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