2 papers
cs.LG2025
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
Rudy Morel, Francesco Pio Ramunno, Jeff Shen +18
Conditional diffusion models provide a natural framework for probabilistic prediction of dynamical systems and have been successfully applied to fluid dynamics and weather predicti…
astro-ph.GA2025
Discovery of the Polar Ring Galaxies with deep learning
D. V. Dobrycheva, O. O. Hetmantsev, I. B. Vavilova +3
The aim of our research is to create a catalog of strong and good candidates for PRGs using existing catalogs of PRGs, develop an image-based approach with machine learning methods…