Search Results for author: Sergey Troshin

Found 4 papers, 2 papers with code

Probing Pretrained Models of Source Code

no code implementations16 Feb 2022 Sergey Troshin, Nadezhda Chirkova

Deep learning models are widely used for solving challenging code processing tasks, such as code generation or code summarization.

Code Generation Code Summarization

Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems

no code implementations29 Dec 2021 Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova, Ekaterina Lobacheva, Sviatoslav Panchenko, Dmitry Vetrov, Dmitry Kropotov

Channel decoding, channel detection, channel assessment, and resource management for wireless multiple-input multiple-output (MIMO) systems are all examples of problems where machine learning (ML) can be successfully applied.

BIG-bench Machine Learning Management

Empirical Study of Transformers for Source Code

1 code implementation15 Oct 2020 Nadezhda Chirkova, Sergey Troshin

In this work, we conduct a thorough empirical study of the capabilities of Transformers to utilize syntactic information in different tasks.

Code Completion Natural Language Processing

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