4 papers
Projected Energy Matching for Generative 3D Priors
Daniel Barco, Michal Balcerak, Suprosanna Shit +4
Energy Matching has emerged as a powerful generative framework that combines flow model efficiency with the explicit likelihood of Energy-Based Models (EBMs) via a single, time-ind…
The Role of Artificial Intelligence in the SKA Era
Philipp Denzel, Frank-Peter Schilling, Elena Gavagnin
The Square Kilometre Array Observatory (SKAO) will usher in an era of unprecedented data complexity and scientific opportunity in radio astronomy, producing petabyte-scale datasets…
Optimization of Deep Learning Models for Radio Galaxy Classification
Philipp Denzel, Manuel Weiss, Elena Gavagnin +1
Modern radio telescope surveys, capable of detecting billions of galaxies in wide-field surveys, have made manual morphological classification impracticable. This applies in partic…
Galactic Alchemy: Deep Learning Map-to-Map Translation in Hydrodynamical Simulations
Philipp Denzel, Yann Billeter, Frank-Peter Schilling +1
We present the first systematic study of multi-domain map-to-map translation in galaxy formation simulations, leveraging deep generative models to predict diverse galactic properti…