269 citations · 483 across the 5 of their papers we have counts for
6 papers
Globally Optimal Contour Deformations with Neural Networks
Stephen Jones, Daniel Maître, Anton Olsson
In this article, we explore the use of contour deformation for the numerical evaluation of Feynman integrals after sector decomposition. In existing codes, the contour of integrati…
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods
Daniel Maître, Vishal S. Ngairangbam, Michael Spannowsky
The Matrix-Element Method (MEM) has long been a cornerstone of data analysis in high-energy physics. It leverages theoretical knowledge of parton-level processes and symmetries to…
Multi-variable Integration with a Neural Network
Daniel Maître, Roi Santos-Mateos
In this article we present a method for automatic integration of parametric integrals over the unit hypercube using a neural network. The method fits a neural network to the primit…
Automation of Multi-leg One-loop virtual Amplitudes
D. Maitre
In the last few years, much progress has been made in the computation of one-loop virtual matrix elements for processes involving many external particles. In this contribution the…
HypExp 2, Expanding Hypergeometric Functions about Half-Integer Parameters
T. Huber, D. Maître
In this article, we describe a new algorithm for the expansion of hypergeometric functions about half-integer parameters. The implementation of this algorithm for certain classes o…
Two-Loop Quark and Gluon Form Factors in Dimensional Regularisation
T. Gehrmann, T. Huber, D. Maitre
We compute the two-loop corrections to the massless quark form factor and gluon form factor to all orders in the dimensional regularisation parameter $ε…