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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:989
Abstract pages:1214
Full texts:902
References:141
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)
1. 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
2. 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
3. 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
4. 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

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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