no code implementations • 9 May 2024 • Tianji Cai, Garrett W. Merz, François Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, Lance J. Dixon
We pursue the use of deep learning methods to improve state-of-the-art computations in theoretical high-energy physics.