4 citations · 5 across the 5 of their papers we have counts for
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astro-ph.IM2023★ 1 cited
Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging
Tobías I. Liaudat, Matthijs Mars, Matthew A. Price +3
Next-generation radio interferometers like the Square Kilometer Array have the potential to unlock scientific discoveries thanks to their unprecedented angular resolution and sensi…
eess.IV2023★ 4 cited
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems
Julian Tachella, Marcelo Pereyra
Scientific imaging problems are often severely ill-posed, and hence have significant intrinsic uncertainty. Accurately quantifying the uncertainty in the solutions to such problems…