2 papers
hep-ph2024
Exploring the Truth and Beauty of Theory Landscapes with Machine Learning
Konstantin T. Matchev, Katia Matcheva, Pierre Ramond +1
Theoretical physicists describe nature by i) building a theory model and ii) determining the model parameters. The latter step involves the dual aspect of both fitting to the exist…
hep-ph2023
Seeking Truth and Beauty in Flavor Physics with Machine Learning
Konstantin T. Matchev, Katia Matcheva, Pierre Ramond +1
The discovery process of building new theoretical physics models involves the dual aspect of both fitting to the existing experimental data and satisfying abstract theorists' crite…