YASENN: Explaining Neural Networks via Partitioning Activation Sequences. - Yaroslav Zharov; Denis Korzhenkov; Pavel Shvechikov; Alexander Tuzhilin (CoRR, 2018)

Self Supervised Learning for Object Localisation in 3D Tomographic Images. - Yaroslav Zharov; Alexey Ershov; Tilo Baumbach (CoRR, 2020)

Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training. - Yaroslav Zharov; Alexey Ershov; Tilo Baumbach; Vincent Heuveline (CoRR, 2022)

A Knowledge Distillation Framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. - Jwalin Bhatt; Yaroslav Zharov; Sungho Suh; Tilo Baumbach; Vincent Heuveline; Paul Lukowicz (ISBI, 2023)

Optimizing the Procedure of CT Segmentation Labeling. - Yaroslav Zharov; Tilo Baumbach; Vincent Heuveline (CoRR, 2023)

Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning. - Yaroslav Zharov; Evelina Ametova; Rebecca Spiecker; Tilo Baumbach; Genoveva Burca; Vincent Heuveline (CoRR, 2023)

Tool-augmented LLMs as a Universal Interface for IDEs. - Yaroslav Zharov; Yury Khudyakov; Evgeniia Fedotova; Evgeny Grigorenko; Egor Bogomolov (IDE@ICSE, 2024)

Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks. - Konstantin Grotov; Sergey Titov; Yaroslav Zharov; Timofey Bryksin (CoRR, 2024)

On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing. - Alexander Kovrigin; Aleksandra Eliseeva; Yaroslav Zharov; Timofey Bryksin (CoRR, 2024)

Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks. - Konstantin Grotov; Artem Borzilov; Maksim Krivobok; Timofey Bryksin; Yaroslav Zharov (CoRR, 2024)

Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings. - Petr Tsvetkov; Aleksandra Eliseeva; Danny Dig; Alexander Bezzubov; Yaroslav Golubev; Timofey Bryksin; Yaroslav Zharov (SEIP@ICSE, 2025)

EnvBench: A Benchmark for Automated Environment Setup. - Aleksandra Eliseeva; Alexander Kovrigin; Ilia Kholkin; Egor Bogomolov; Yaroslav Zharov (CoRR, 2025)

Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring. - Fraol Batole; Abhiram Bellur; Malinda Dilhara; Mohammed Raihan Ullah; Yaroslav Zharov; Timofey Bryksin; Kai Ishikawa; Haifeng Chen; Masaharu Morimoto; Shota Motoura; Takeo Hosomi; Tien N. Nguyen; et al. (CoRR, 2025)

GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git. - Tobias Lindenbauer; Egor Bogomolov; Yaroslav Zharov (CoRR, 2025)