Alexey D. Rukhovich

According to our database, Alexey D. Rukhovich authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders.

Georgii Aparin, Tasnima Sadekova, Alexey D. Rukhovich, Assel Yermekova, Laida Kushnareva, Vadim Popov, Kristian Kuznetsov, Irina Piontkovskaya

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Gamayun's Path to Multilingual Mastery: Cost-Efficient Training of a 1.5B-Parameter LLM.

Alexander Podolskiy, Semen Molokov, Timofey Gerasin, Maksim Titov, Alexey D. Rukhovich, Artem Khrapov, Kirill Morozov, Evgeny Tetin, Constantine Korikov, Pavel Efimov, Polina Lazukova, Yuliya Skripkar, Nikita Okhotnikov, Irina Piontkovskaya, Xiaojun Meng, Zou Xueyi, Zhenhe Zhang

CoRR, December, 2025

Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning.

Alexey D. Rukhovich, Alexander Podolskiy, Irina Piontkovskaya

CoRR, January, 2025

LAMeD: LLM-generated Annotations for Memory Leak Detection.

Ekaterina Shemetova, Ivan Smirnov, Anton Alekseev, Ilya Shenbin, Alexey D. Rukhovich, Sergey I. Nikolenko, Vadim Lomshakov, Irina Piontkovskaya

Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, 2025

2023

Updating of the Archival Large-Scale Soil Map Based on the Multitemporal Spectral Characteristics of the Bare Soil Surface Landsat Scenes.

Dmitry I. Rukhovich, Polina V. Koroleva, Alexey D. Rukhovich, Mikhail A. Komissarov

Remote. Sens., September, 2023

Informativeness of the Long-Term Average Spectral Characteristics of the Bare Soil Surface for the Detection of Soil Cover Degradation with the Neural Network Filtering of Remote Sensing Data.

Dmitry I. Rukhovich, Polina V. Koroleva, Alexey D. Rukhovich, Mikhail A. Komissarov

Remote. Sens., January, 2023

2022

Recognition of the Bare Soil Using Deep Machine Learning Methods to Create Maps of Arable Soil Degradation Based on the Analysis of Multi-Temporal Remote Sensing Data.

Dmitry I. Rukhovich, Polina V. Koroleva, Danila D. Rukhovich, Alexey D. Rukhovich

Remote. Sens., 2022