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researcher

G. Vorotnikov

3 papers hereh-index 321 citations7 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • hep-ph2
  • physics.data-an1
same name
  • G. Vorotnikov — 1 paper
  • G. Vorotnikov — 1 paper

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 citedApplication of Deep Learning Technique to an Analysis of Hard Scattering Processes at Colliders

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

physics.data-an2021★ 1 cited

Application of Deep Learning Technique to an Analysis of Hard Scattering Processes at Colliders

Lev Dudko, Petr Volkov, Georgii Vorotnikov +1

Deep neural networks have rightfully won the place of one of the most accurate analysis tools in high energy physics. In this paper we will cover several methods of improving the p…

hep-ph2020

Eligibility of EFT approach to search for tqg FCNC phenomenon

E. E. Boos, V. E. Bunichev, L. V. Dudko +2

The Effective Field Theory (EFT) approach is widely used in the search for possible deviations from the predictions of the Standard Model. Such an approximation of possible BSM phy…

hep-ph2020

General recipe to form input space for deep learning analysis of HEP scattering processes

Andrei Chernoded, Lev Dudko, Georgi Vorotnikov +4

Deep learning neural network technique (DNN) is one of the most efficient and general approach of multivariate data analysis of the collider experiments. The important step of the…

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