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News/Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding
arxiv
PublishedJune 10, 2026 at 4:00 AM

Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding

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arXiv:2606.10698v1 Announce Type: cross Abstract: 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-art calculations in theoretical particle and gravitational-wave physics.

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