Образование:

2005, СПбГУ, математико-механический, математик;

2005-2008 - аспирант ПОМИ РАН;

2008-наст.вр. - сотрудник ПОМИ РАН.

Публикации:

1. S.I. Nikolenko. Synthetic Data for Deep Learning. Springer, 2021.
2. С.И. Николенко, А.А. Кадурин, Е.О. Архангельская. Глубокое обучение. Питер, 2017.
3. A. Palmer, P. Phapale, I. Chernyavsky, R. Lavigne, D. Fay, A. Tarasov, V. Kovalev, J. Fuchser, S.I. Nikolenko, C. Pineau, M. Becker, T. Alexandrov. FDR-controlled metabolite annotation for high-resolution imaging mass spectrometry. Nature Methods, vol. 14, 2017, pp. 57–60.
4. K. Kogan, S.I. Nikolenko, O. Rottenstreich, W. Culhane, P. Eugster. SAX-PAC (Scalable And eXpressive PAcket Classification). Proceedings of the 2014 ACM conference on SIGCOMM ( SIGCOMM 2014), ACM Press, 2014, pp. 15–26
5. S. Golovanov, R. Kurbanov, S.I. Nikolenko, K. Truskovskyi, A. Tselousov, T. Wolf. Large-Scale Transfer Learning for Natural Language Generation. 57th Annual Meeting of the Association for Computational Linguistics ( ACL 2019), 2019, pp. 6053–6058

Публикации: https://logic.pdmi.ras.ru/~sergey/papers.html

Google Scholar: https://scholar.google.com/citations?user=_lk95cEAAAAJ

DBLP: https://dblp.uni-trier.de/pid/50/1870.html