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Yarotskii, Dmitrii Aleksandrovich

Total publications: 4 (4)
in MathSciNet: 3 (3)
in zbMATH: 3 (3)
in Web of Science: 3 (3)
in Scopus: 1 (1)
Cited articles: 2
Citations: 3
Presentations: 9

Number of views:
This page:1018
Abstract pages:1238
Full texts:917
References:154
Doctor of physico-mathematical sciences (2002)
Birth date: 09.12.1976
E-mail: ,
Keywords: mathematical physics; scattering theory; spectral theory of linear operators.

https://www.mathnet.ru/eng/person17437
List of publications on Google Scholar
List of publications on ZentralBlatt
https://mathscinet.ams.org/mathscinet/MRAuthorID/658693

Full list of publications:
| scientific publications | by years | by types | by times cited | common list |


Citations (Crossref Cited-By Service + Math-Net.Ru)

   2017
1. P. Y. Boyko, E. M. Bikov, E. I. Sokolov, D. A. Yarotsky, “Application of Machine Learning to Incident Ranking at Moscow Railway”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2017, no. 2, 43–53  mathnet

   2006
2. D. A. Yarotskii, “Pirogov–Sinai theory for relatively bounded quantum perturbations of classical lattice models”, Russian Math. Surveys, 61:2 (2006), 371–372  mathnet  crossref  crossref  mathscinet  zmath  adsnasa  isi  elib  elib  scopus

   2001
3. D. A. Yarotskii, “Central Limit Theorem for a Class of Nonhomogeneous Random Walks”, Math. Notes, 69:5 (2001), 690–695  mathnet  crossref  crossref  mathscinet  zmath  isi

   1999
4. D. A. Yarotskii, “Invariance principle for nonhomogeneous random walks on the grid $\mathbb Z^1$”, Math. Notes, 66:3 (1999), 372–383  mathnet  crossref  crossref  mathscinet  zmath  isi

Presentations in Math-Net.Ru
1. Universal formulas: structure and learning by gradient descent
D. A. Yarotskii
Mathematical Foundations of Artificial Intelligence
March 27, 2024 17:00   
2. Kolmogorov theorem and Neural networks
D. A. Yarotskii
Mathematical Foundations of Artificial Intelligence
March 13, 2024 17:00   
3. Универсальные формулы и нейронные сети
D. A. Yarotskii

February 29, 2024 18:30
4. Спектральный анализ обучения нейронных сетей
D. A. Yarotskii
Mathematics of Artificial Intelligence
October 7, 2023 17:00
5. Approximation with neural networks of minimal size: exotic regimes and superexpressive activations
Dmitry Yarotsky
Colloquium of the Faculty of Computer Science
February 1, 2022 16:20   
6. Глубокое обучение и связанные с ним теоретические вопросы
D. A. Yarotskii
Dobrushin Mathematics Laboratory Seminar
January 16, 2018 16:00
7. Оптимизация методом ожидаемого улучшения и интерполяция гауссовскими функциями
D. A. Yarotskii
Sinai Seminar
July 8, 2014 14:00
8. Спектральные и ассимптотические методы в некоторых задачах теории вероятностей
D. A. Yarotskii
Dobrushin Mathematics Laboratory Seminar
March 18, 2014 16:00
9. Optimization by "expected improvement" and exponential interpolation: rigorous results for analytic functions
D. A. Yarotskii
PreMoLab Seminar
November 15, 2012 17:00

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