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Then

R. Verheyen and B. Stienen, Phase Space Sampling and Inference from Weighted Events with Autoregressive Flows
Original
2011
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2012
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PhD thesis, Munich, Tech. U., 2014

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2021

Targeting Multi-Loop Integrals with Neural Networks

Winterhalder, Ramon, Magerya, Vitaly, Villa, Emilio et al.

Understand

Numerical evaluations of Feynman integrals often proceed via a deformation of the integration contour into the complex plane.

While valid contours are easy to construct, the numerical precision for a multi-loop integral can depend critically on the chosen contour.
We present methods to optimize this contour using a combination of optimized, global complex shifts and a normalizing flow.
They can lead to a significant gain in precision.