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Regular version of the site

Laboratory of Theoretical Computer Science

Publications
Book
Special Issue on Computer Science Symposium in Russia

Edited by: Ф. В. Фомин, V. V. Podolskii.

Vol. 64. Iss. 1. Springer, 2020.

Article
Information disclosure in the framework of kolmogorov complexity

Vereshchagin N.

Theoretical Computer Science. 2023. Vol. 940. P. 108-122.

Book chapter
Towards Practical Control of Singular Values of Convolutional Layers

Senderovich A., Bulatova E., Obukhov A. et al.

In bk.: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022. Curran Associates, Inc., 2022.

Working paper
mGPT: Few-Shot Learners Go Multilingual

Shliazhko O., Fenogenova A., Tikhonova M. et al.

Statistical mechanics. arXie. arXive, 2022

About the Laboratory

The Laboratory  of Theoretical Computer Science  was founded in December 2015. Structurally, it is a part of Big Data and Information Retrieval School at the Faculty of Computer Science.

The main research directions of the laboratory are computational complexity, algorithmic information theory, algorithmic statistics, combinatorial optimization, algorithmic aspects of game theory.