Conveners
Session 4
- Jai-chan Hwang (IBS CTPU-PTC)
Sung Hak Lim
(IBS CTPU-PTC)
28/10/2025, 16:20
Recent advances in machine learning (ML), particularly neural density estimation like normalizing flows, diffusion models, and flow matching, have opened new doors for high-precision, model-independent density estimation. These techniques are highly valuable for galactic dynamics studies, as they allow us to estimate the distribution of stars in phase space (position and velocity) without...