mlsanityData to 7 Oct 2026

Bayesian Imaging for Radio Interferometry with Score-Based Priors

arXiv 2311.18012 ↗First posted 29 Nov 2023astro-ph.IM cs.CVcited by 3

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Abstract (arXiv)

The inverse imaging task in radio interferometry is a key limiting factor to retrieving Bayesian uncertainties in radio astronomy in a computationally effective manner. We use a score-based prior derived from optical images of galaxies to recover images of protoplanetary disks from the DSHARP survey. We demonstrate that our method produces plausible posterior samples despite the misspecified galaxy prior. We show that our approach produces results which are competitive with existing radio interferometry imaging algorithms.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 15 of its 53 references that are in the map. First posted on arXiv 29 Nov 2023.

Builds on

15 of 53 references.

References · 15

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  3. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  4. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  5. 2022Elucidating the Design Space of Diffusion-Based Generative Modelscited by 2,994
  6. 2022Diffusion Posterior Sampling for General Noisy Inverse Problemscited by 1,375
  7. 2021Maximum Likelihood Training of Score-Based Diffusion Modelscited by 670
  8. 2022Diffusion models as plug-and-play priorscited by 230
  9. 2023Score-Based Diffusion Models as Principled Priors for Inverse Imagingcited by 126
  10. 2023Sampling-Based Accuracy Testing of Posterior Estimators for General Inferencecited by 45
  11. 2021Realistic galaxy image simulation via score-based generative modelscited by 24
  12. 2022Posterior samples of source galaxies in strong gravitational lenses with score-based priorscited by 20
3 more
  1. 2022Probabilistic Mass Mapping with Neural Score Estimationcited by 17
  2. 2023Variational Bayesian Imaging with an Efficient Surrogate Score-based Priorcited by 16
  3. 2019Metric Gaussian Variational Inferencecited by 14

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Cited by year

Citing papers per year: 2024: 2; 2025: 1.

3 papers.

  1. 2025InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciencescited by 67
  2. 2024Learning Diffusion Priors from Observations by Expectation Maximizationcited by 60
  3. 2024PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimationcited by 8