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E. Villa

4 papers hereh-index 2122 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • hep-ph4
same name
  • E. Villa — 15 papers, h 9
  • E. Villa — 9 papers, h 8
  • E. Villa — 8 papers
  • E. Villa — 6 papers, h 25
  • E. Villa — 5 papers, h 11
  • E. Villa — 3 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTargeting Multi-Loop Integrals with Neural Networks

56 citations · 63 across the 4 of their papers we have counts for

collaborators

4 papers

hep-ph2021★ 56 cited

Targeting Multi-Loop Integrals with Neural Networks

Ramon Winterhalder, Vitaly Magerya, Emilio Villa +5

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 numeri…

hep-ph2021

pySecDec as a tool for expansion by regions and loop amplitude evaluation

Emilio Villa

We present the new release of pySecDec, a toolbox for the evaluation of dimensionally regulated parameter integrals. The main new features consist of an automated way to perform ex…

hep-ph2021★ 6 cited

Expansion by regions with pySecDec

G. Heinrich, S. Jahn, S. P. Jones +6

We discuss the technique of expansion by regions from a geometric perspective, and its implementation within pySecDec, a toolbox for the evaluation of dimensionally regulated param…

hep-ph2019★ 1 cited

Towards hardware acceleration for parton densities estimation

Stefano Carrazza, Juan Cruz-Martinez, Jesús Urtasun-Elizari +1

In this proceedings we describe the computational challenges associated to the determination of parton distribution functions (PDFs). We compare the performance of the convolution…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.