3 citations · 3 across the 3 of their papers we have counts for
4 papers · 1 filter
Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding
Justin Berman, Francois Charton, Andres Luna +2
In this paper, we use machine learning to discover a new seeding strategy for integration-by-parts reduction of Feynman integrals, which is a frequent bottleneck in state-of-the-ar…
FIRE 7: Automatic Reduction with Modular Approach
Alexander V. Smirnov, Mao Zeng
FIRE7 is a major update to the FIRE program for integration-by-parts (IBP) reduction of Feynman integrals. A large part of improvements is related to the automatic reduction and re…
Feynman integral reduction: balanced reconstruction of sparse rational functions and implementation on supercomputers in a co-design approach
Alexander Smirnov, Mao Zeng
Integration-by-parts (IBP) reduction is one of the essential steps in evaluating Feynman integrals. A modern approach to IBP reduction uses modular arithmetic evaluations with para…
Efficient reduction of Feynman integrals on supercomputers
A. V. Belitsky, A. A. Kokosinskaya, A. V. Smirnov +2
Feynman integral reduction by means of integration-by-parts identities is a major power gadget in a theorist toolbox indispensable for calculation of multiloop quantum effects rele…