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G. Ovchinnikov

4 papers hereh-index 4217 citations13 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.AI1
  • cs.DS1
  • cs.LG1
  • cs.RO1
same name
  • G. Ovchinnikov — 2 papers
  • G. Ovchinnikov — 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

activity
20152020
most citedAA-ICP: Iterative Closest Point with Anderson Acceleration

12 citations · 14 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2020★ 1 cited

Reinforcement Learning for Assignment problem

Filipp Skomorokhov, George Ovchinnikov

This paper is dedicated to the application of reinforcement learning combined with neural networks to the general formulation of user scheduling problem. Our simulator resembles re…

cs.LG2018

Data-driven model for the identification of the rock type at a drilling bit

Nikita Klyuchnikov, Alexey Zaytsev, Arseniy Gruzdev +12

Directional oil well drilling requires high precision of the wellbore positioning inside the productive area. However, due to specifics of engineering design, sensors that explicit…

cs.RO2017★ 12 cited

AA-ICP: Iterative Closest Point with Anderson Acceleration

A. L. Pavlov, G. V. Ovchinnikov, D. Yu. Derbyshev +2

Iterative Closest Point (ICP) is a widely used method for performing scan-matching and registration. Being simple and robust method, it is still computationally expensive and may b…

cs.DS2015★ 1 cited

Linear complexity SimRank computation based on the iterative diagonal estimation

I. V. Oseledets, G. V. Ovchinnikov, A. M. Katrutsa

This paper presents a deterministic linear time complexity IDE-SimRank method to approximately compute SimRank with proved error bound. SimRank is a well-known similarity measure b…

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