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AI/ML STIG Lecture Series

Artificial Intelligence and Machine Learning Science and Technology Interest Group (AI/ML STIG)

AI/ML STIG about AI/ML STIG Lecture Series

Location

Virtual

Dates

6 April 2026
4:00pm ET

Community

AI/ML STIG

Type

Seminar

Simulation-Based Inference

Speaker

Tomasz Rozanski, ANU

An introduction to simulation-based inference (SBI) for astronomy, using normalizing flows to perform posterior estimation in settings where the likelihood is intractable. Hands-on tutorials cover a toy physics problem and a stellar population application.

Topics Covered

  • Motivation: inference when the likelihood is intractable
  • Approximate Bayesian computation and its limitations
  • Neural posterior estimation with normalizing flows
  • Tutorial: inferring parameters from ball throw observations
  • Application: SBI for stellar population modeling
Session Recording

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Angled from the upper left corner to the lower right corner is a cone-shaped orange-red cloud known as Herbig-Haro 49/50. This feature takes up about three-fourths of the length of this angle. The upper left end of this feature has a translucent, rounded end. The conical feature widens slightly from the rounded end at the upper right down to the lower right. Along the cone there are additional rounded edges, like edges of a wave, and intricate foamy-like details, as well as a clearer view of the black background of space. In the upper left, overlapping with the rounded end of Herbig-Haro 49/50, is a background spiral galaxy with a concentrated blue center that fades outward to blend with red spiral arms. The background of space is speckled with some white stars and smaller, more numerous, fainter white galaxies throughout.