AI/ML STIG Lecture Series
Artificial Intelligence and Machine Learning Science and Technology Interest Group (AI/ML STIG)
Location
Virtual
Dates
30 March 2026
4:00pm ET
Community
AI/ML STIG
Type
Seminar
Flow Matching
Speaker
Tomasz Rozanski, ANU
A hands-on tutorial on flow matching for generative modeling in astronomy, covering continuous normalizing flows applied to stellar population modeling with both single and conditional population examples.
Topics Covered
- Introduction to flow matching and continuous normalizing flows
- Vector fields and optimal transport
- Single population modeling of stellar properties
- Conditional flow matching for population-dependent generation
- Applications to isochrone and stellar catalog generation
Session Recording
Meeting Connection
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