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2020 – today
- 2024
[c2]Yaroslav Zharov
, Yury Khudyakov, Evgeniia Fedotova, Evgeny Grigorenko, Egor Bogomolov:
Tool-augmented LLMs as a Universal Interface for IDEs. IDE@ICSE 2024: 40-42- [i11]Yaroslav Zharov, Yury Khudyakov, Evgeniia Fedotova, Evgeny Grigorenko, Egor Bogomolov:
Tool-Augmented LLMs as a Universal Interface for IDEs. CoRR abs/2402.11635 (2024) - [i10]Konstantin Grotov, Sergey Titov, Yaroslav Zharov, Timofey Bryksin:
Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks. CoRR abs/2405.01559 (2024) - [i9]Alexander Kovrigin, Aleksandra Eliseeva, Yaroslav Zharov, Timofey Bryksin:
On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing. CoRR abs/2406.04464 (2024) - [i8]Petr Tsvetkov, Aleksandra Eliseeva, Danny Dig, Alexander Bezzubov, Yaroslav Golubev, Timofey Bryksin, Yaroslav Zharov:
Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings. CoRR abs/2410.12046 (2024) - [i7]Konstantin Grotov, Artem Borzilov, Maksim Krivobok, Timofey Bryksin, Yaroslav Zharov:
Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks. CoRR abs/2410.14393 (2024) - 2023
- [c1]Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz:
A Knowledge Distillation Framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. ISBI 2023: 1-5 - [i6]Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz:
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. CoRR abs/2302.12562 (2023) - [i5]Yaroslav Zharov, Tilo Baumbach, Vincent Heuveline:
Optimizing the Procedure of CT Segmentation Labeling. CoRR abs/2303.14089 (2023) - [i4]Yaroslav Zharov, Evelina Ametova, Rebecca Spiecker, Tilo Baumbach, Genoveva Burca, Vincent Heuveline:
Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning. CoRR abs/2303.14429 (2023) - 2022
- [i3]Yaroslav Zharov, Alexey Ershov, Tilo Baumbach, Vincent Heuveline:
Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training. CoRR abs/2203.09372 (2022) - 2020
- [i2]Yaroslav Zharov, Alexey Ershov, Tilo Baumbach:
Self Supervised Learning for Object Localisation in 3D Tomographic Images. CoRR abs/2011.03353 (2020)
2010 – 2019
- 2018
- [i1]Yaroslav Zharov, Denis Korzhenkov, Pavel Shvechikov, Alexander Tuzhilin:
YASENN: Explaining Neural Networks via Partitioning Activation Sequences. CoRR abs/1811.02783 (2018)
Coauthor Index
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