Избранные публикации пользователей суперкомпьютерного комплекса НИУ ВШЭ

Публикации пользователей суперкомпьютера НИУ ВШЭ в высокорейтинговых изданиях

1. Kostenetskiy P.S., Chulkevich R.A., Kozyrev V.I. HPC Resources of the Higher School of Economics // Journal of Physics: Conference Series, 2021. Vol. 1740, No.1. P. 012050. DOI: 10.1088/1742-6596/1740/1/012050 [PDF] [BibTeX]
2. Kostenetskiy P.S., Kozyrev V.I., Chulkevich R.A., Raimova A.A. Enhancement of the Data Analysis Subsystem in the Task-Efficiency Monitoring System HPC TaskMaster for the cHARISMa Supercomputer Complex at HSE University // Parallel Computational Technologies (PCT'2024). Communications in Computer and Information Science, Springer, 2024. Vol. 2241. P. 49-64. DOI: 10.1007/978-3-031-73372-7_4 [PDF] [BibTeX] 
3. Kostenetskiy P., Chulkevich R., Kozyrev V., Shamsutdinov A., Antonov D. HPC TaskMaster - Task Efficiency Monitoring System for the Supercomputer Center // Parallel Computational Technologies (PCT'2022). Communications in Computer and Information Science, vol 1618. Springer. DOI: 10.1007/978-3-031-11623-0_2 [PDF] [BibTeX]
4. Voevodin V.V., Chulkevich R.A., Kostenetskiy P.S., Kozyrev V.I. et al. Administration, Monitoring and Analysis of Supercomputers in Russia: a Survey of 10 HPC Centers // Supercomputer Frontiers and Innovations, 2021. Vol. 3, No. 3. P. 82 - 103. DOI: 10.14529/jsfi210305 (Q2) [PDF] [BibTeX]
5. Чулкевич Р.А., Козырев В.И., Костенецкий П.С., Раимова А.А. Экспериментальная оценка результатов внедрения технологии NVIDIA GPUDirect на суперкомпьютере НИУ ВШЭ // Russian Supercomputing Days, 2023
6. Костенецкий П.С., Шамсутдинов А.Б., Чулкевич Р.А., Козырев В.И. Разработка подсистемы анализа эффективности использования вычислительных ресурсов для системы HPC TaskMaster // Параллельные вычислительные технологии – XVII всероссийская конференция с международным участием, ПаВТ'2023, г. Санкт-Петербург, 28–30 марта 2023 г.
7. Костенецкий П.С., Козырев В.И., Чулкевич Р.А., Шамсутдинов А.Б. Свидетельство о государственной регистрации программы для ЭВМ "HPC TaskMaster - система мониторинга эффективности задач суперкомпьютера". 18 ноября 2022. [Сертификат в формате PDF] 
8. Чулкевич Р.А., Козырев В.И., Шамсутдинов А.Б., Костенецкий П.С. Сравнение производительности параллельной СХД суперкомпьютера с разными версиями файловой системы Lustre // Russian Supercomputing Days, 2022 [PDF]
   
9. Костенецкий П.С., Шамсутдинов А.Б., Чулкевич Р.А., Козырев В.И. HPC TaskMaster – система мониторинга эффективности задач суперкомпьютера // Russian Supercomputing Days, 2021 [PDF]
10. Козырев В.И., Чулкевич Р.А., Костенецкий П.С. Свидетельство о государственной регистрации программы для ЭВМ "Система мониторинга и статистики вычислительного кластера". 09 сентября 2021. [Сертификат в формате PDF] 
11. Шамсутдинов А.Б., Костенецкий П.С. Разработка системы мониторинга эффективности задач на суперкомпьютере cHARISMa // Параллельные вычислительные технологии ПаВТ'2021, 30 марта - 1 апреля 2021, г. Волгоград

Публикации пользователей 2025 г.

Статьи Scopus Q1

1. Boldyrev A., Ratnikov F., Shevelev A. Approach to Finding a Robust Deep Learning Model //IEEE Access. – 2025. (Scopus Q1, list A of HSE)
2. Buianova I. et al. Math skills and microstructure of the middle longitudinal fasciculus: A developmental investigation //PloS one. – 2025. – Т. 20. – №. 6. – С. e0324802. (Scopus Q1, list A of HSE)
3. Gliaudelis, G. & Lukyanchuk, V. & Chtchelkatchev, Nikolay & Saitov, Ilnur & Kondratyuk, Nikolay. (2025). Dynamical properties of hydrogen fluid at high pressures. The Journal of Chemical Physics. 162. 24504. 10.1063/5.0236394. (Scopus Q1, list A of HSE)
4. M. Golyadkin, S. Saraev and I. Makarov, "Advancing Sequential Manga Colorization for AR Through Data Synthesis," in IEEE Access, vol. 13, pp. 7526-7537, 202. (Scopus Q1, list A of HSE)
5. Neverov V. D. et al. Spatial correlations in disorder: Impact on the superconducting critical temperature //Physical Review B. – 2025. – Т. 111. – №. 18. – С. 184514. (Scopus Q1, list A of HSE)
6. Odintsova E. G. et al. Shear Viscosity of Short-Chain Imidazolium Ionic Liquids from Equilibrium and Nonequilibrium Molecular Dynamics: Atomistic and Coarse-Grained Levels //Industrial & Engineering Chemistry Research. – 2025. (Scopus Q1, list A of HSE)
7. Sohrabi M. et al. A genetic engineering algorithm for the generalized quadratic assignment problem //Neural Computing and Applications. – 2025. – С. 1-27. (Scopus Q1, list A of HSE)
8. Solovyev R. A. et al. PAGR: Accelerating Global Routing for VLSI Design Flow //IEEE Access. – 2025. (Scopus Q1, list A of HSE)
9. Tararushkin E. V. et al. Structure and properties of thaumasite and its aqueous interfaces revealed by molecular dynamics simulations //Cement and Concrete Research. – 2025. – Т. 197. – С. 107944. (Scopus Q1, list A of HSE)
10. Titova A., Izmodenov V., Korolkov S. Effects of angular scattering and H+ p, H+ H collisions on the properties of interstellar atoms in the heliosphere //Publications of the Astronomical Society of Australia. – 2025. – Т. 42. – С. e045. (Scopus Q1, list A of HSE)

Статьи Core A*

1. Gorbunov, M., Yudin, K., Soboleva, V., Alanov, A., Naumov, A., & Rakhuba, M. Group and Shuffle: Efficient Structured Orthogonal Parametrization. In The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2025). (CORE A*, list A_conf of HSE)

Статьи Scopus Q2

1. Chuikova Z. V. et al. Mapping common and distinct brain correlates among cognitive flexibility tasks: concordant evidence from meta-analyses //Brain Imaging and Behavior. – 2024. – С. 1-22. (Scopus Q2, list A of HSE)
2. Minnigulova A, Karpychev V, Davydova E, Pereverzeva D, Sorokin A, Tyushkevich S, Mamokhina U, Danilina K, Dragoy O, Arutiunian V. Altered thalamotemporal structural connectivity is associated with autistic traits in children with ASD. Behav Brain Res. 2025 Jan 3;481:115414. doi: 10.1016/j.bbr.2024.115414. (Scopus Q2, list A of HSE)

Статьи Scopus Q4

1. Ali S. et al. Calibrating for the Future: Enhancing Calorimeter Longevity with Deep Learning //Moscow University Physics Bulletin. – 2024. – Т. 79. – №. Suppl 2. – С. S591-S597. (Scopus Q4, list C of HSE)

Другие

1. Chaichuk M. et al. Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models //arXiv e-prints. – 2025. – С. arXiv: 2505.05573.
2. Grishina, Ekaterina, Mikhail Gorbunov, and Maxim Rakhuba. "ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations." arXiv preprint arXiv:2506.02818 (2025).
3. Gritsaev, Timofei, et al. "Adaptive Destruction Processes for Diffusion Samplers." arXiv preprint arXiv:2506.01541 (2025).
4. Morozov N. et al. Revisiting Non-Acyclic GFlowNets in Discrete Environments //arXiv preprint arXiv:2502.07735. – 2025.
5. Pilé I., Burovski E. Superconductivity and trimers on attractive-$ U $ Hubbard ladders //arXiv preprint arXiv:2504.21630. – 2025.
6. Vikhorev D. et al. CleanComedy: Creating Friendly Humor through Generative Techniques // Записки научных семинаров ПОМИ. – 2024.
7. Yusupov V., Rakhuba M., Frolov E. Knowledge Graph Completion with Mixed Geometry Tensor Factorization //arXiv preprint arXiv:2504.02589. – 2025.
8. Б.Д. Зиннуров, Г.С. Смирнов, Е.В. Тарарушкин Высокопроизводительное моделирование процессов роста оксигидроксидных структур алюминия // Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ'2025, г. Москва, 8-10 апреля 2025 г.
9. В.И. Морозов, В.О. Башара, М.В. Емельяненко Численная оптимизация проверочной матрицы LDPC-кода для применения в протоколе квантового распределения ключей с использованием высокопараллельных вычислений // Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ'2025, г. Москва, 8-10 апреля 2025 г.
10. Г.А. Арутюнов, С.М. Авдошин, А.М. Литвиненко Улучшенный вывод типов в Python с использованием глубокого обучения сходству на основе графового представления кода // Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ'2025, г. Москва, 8-10 апреля 2025 г.
11. Е.Г. Одинцова, Д.Л. Гурина, Ю.А. Будков Молекулярно-динамическое моделирование поведения воды в условиях ограниченной геометрии кремниевых нанопор // Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ'2025, г. Москва, 8-10 апреля 2025 г.
12. И.Д. Костылев, В.А. Калягин Численный анализ неопределенности алгоритмов идентификации графовых моделей // Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ'2025, г. Москва, 8-10 апреля 2025 г.
13. Мазаев И. А., Костенецкий П.С. Анализ и визуализация данных в системе мониторинга эффективности задач НРС TaskMaster суперкомпьютерного комплекса // Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ'2025, г. Москва, 8-10 апреля 2025 г.
14. Мишенин Р. М., Костенецкий П.С. Моделирование потока задач вычислительного кластера НИУ ВШЭ с использованием SLURM Simulator // Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ'2025, г. Москва, 8-10 апреля 2025 г.
15. Рыбаков Г. С., Костенецкий П.С. Разработка подсистемы динамического изменения приоритета задач в очереди суперкомпьютера // Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ'2025, г. Москва, 8-10 апреля 2025 г.
16. Саликова М. Т., Костенецкий П.С., Мишенин Р. М. Интеллектуальное прогнозирование времени выполнения вычислительных задач GROMACS для оптимизации работы планировщика задач суперкомпьютера «cHARISMa» НИУ ВШЭ // Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ'2025, г. Москва, 8-10 апреля 2025 г.
17. С. М. Авдошин, А. М. Литвиненко Обзор методов верификации смарт-контрактов // Информационные технологии. 2025. Т. 31. № 1. С. 42-55.
18. Ю.В. Зонтов, А.А. Иванов, Д.С. Карабекян, В.И. Якуба Оценка степени манипулируемости известных процедур агрегирования для большого числа альтернатив и участников // Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ'2025, г. Москва, 8-10 апреля 2025 г.

Публикации пользователей 2024 г.

Статьи Scopus Q1

1. Alexander Kirdeev, Konstantin Burkin, Vorobev A., Elena Zbirovskaya, Lifshits G., Poptsova M. Machine learning models for predicting risks of MACEs for myocardial infarction patients with different VEGFR2 genotypes // Frontiers in Medicine. 2024. Vol. 11. Article 1452239. (Scopus Q1, list A of HSE)
2. Al-Maeeni A. et al. Review on automated 2D material design //2D Materials. – 2024. – Т. 11. – №. 3. – С. 032002. (Scopus Q1, list A of HSE)
3. Bahovadinov M.S., Sharipov R. O., Altshuler B. L., Shlyapnikov G.V. Enhanced Drude weight in a one-dimensional system of fermions with pair-hopping events // PHYSICAL REVIEW B, 2024 (Scopus Q1, list A of HSE)
4. Beknazarov N. et al. Z-DNA formation in promoters conserved between human and mouse are associated with increased transcription reinitiation rates //Scientific Reports. – 2024. – Т. 14. – №. 1. – С. 17786. (Scopus Q1, list A of HSE)
5. Budkov Y. A., Kalikin N. N. Statistical Field Theory of Ion-Molecular Fluids: Fundamentals and Applications in Physical Chemistry and Electrochemistry. – Springer Nature, 2024. (Scopus Q1, list A of HSE)
6. Budkov Y., Kalikin N. N., Брандышев П. Е. Surface tension of aqueous electrolyte solutions. A thermomechanical approach // Journal of Chemical Physics. 2024. Vol. 160. No. 16. Article 164701. (Scopus Q1, list A of HSE)
7. Compression Eliminates Charge Traps by Stabilizing Perovskite Grain Boundary Structures: An Ab Initio Analysis with Machine Learning Force Field // Dongyu Liu, Yifan Wu, Mikhail R. Samatov, Andrey S. Vasenko, Evgueni V. Chulkov, and Oleg V. Prezhdo // Chemistry of Materials 2024 36 (6), 2898-2906 (Scopus Q1, list A of HSE)
8. Daniil Alekseev, Mikhail Logunov, Mikhail Lazarev, Sergey Zhukov, and Nikita Orekhov. "Thermal stability of monolayer fullerene networks: A molecular dynamics study with machine-learning potential." Computational Materials Science 248 (2025): 113572 (Scopus Q1, list A of HSE)
9. Darya L. Gurina, Odintsova E., Yury A. Budkov Disjoining Pressure Decay Length in Room-Temperature Ionic Liquids: A Molecular Simulation Study // Journal of Physical Chemistry B. 2024. Vol. 128. No. 9. P. 2215–2218. (Scopus Q1, list C of HSE)
10. Darya L. Gurina, Yury A. Budkov, Kiselev M. G. Molecular aspects on impregnation of silica-based aerogels with mefenamic acid in supercritical carbon dioxide // Journal of Molecular Liquids. 2024. Vol. 415. Article 126358. (Scopus Q1, list A of HSE)
11. Darya L. Gurina, Yury A. Budkov The self-assembly of water reverse micelles with imidazolium ionic liquids in supercritical carbon dioxide: A molecular dynamics simulation study // Colloids and Surfaces A: Physicochemical and Engineering Aspects. 2024. Vol. 695. Article 134209. (Scopus Q1, list A of HSE)
12. Fedorov ID, Stegailov VV. First-principles molecular dynamics of exciton-driven initial stage of plasma phase transition in warm dense molecular nitrogen. J Chem Phys. 2024 Oct 21;161(15):154503. doi: 10.1063/5.0233822. PMID: 39404218. (Scopus Q1, list A of HSE)
13. Flakina AM, Nazarov DI, Faraonov MA, Yakushev IA, Kuzmin AV, Khasanov SS, Zverev VN, Otsuka A, Yamochi H, Kitagawa H, et al. Single-Ion Magnetism of the [DyIII(hfac)4]− Anions in the Crystalline Semiconductor {TSeT1.5}●+[DyIII(hfac)4]− Containing Weakly Dimerized Stacks of Tetraselenatetracene. International Journal of Molecular Sciences. 2024; 25(15):8068. (Scopus Q1, list C of HSE)
14. Fomin D., Ilya Makarov, Voronina M., Anna Strimovskaya, Vitaliy Pozdnyakov Heterogeneous Graph Attention Networks for Scheduling in Cloud Manufacturing and Logistics // IEEE Access. 2024. Vol. 12. P. 196195–196206. (Scopus Q1, list A of HSE)
15. Glushak A, Tararushkin E, Smirnov G. A classical force field for selenium oxyanions in aqueous solutions and minerals. ChemRxiv. 2024; doi:10.26434/chemrxiv-2024-dwwwj (Scopus Q1, list A of HSE)
16. Golyadkin M. et al. Refining the once benchmark with hyperparameter tuning //IEEE Access. – 2024. (Scopus Q1, list A of HSE)
17. Gromov VA, Dang QN, Kogan AS, Yerbolova A. 2024. Spot the bot: the inverse problems of NLP. PeerJ Computer Science 10:e2550 (Scopus Q1, list A of HSE)
18. Gromov, Vasilii & Borodin, Nikita & Yerbolova, Assel. A Language and Its Dimensions: Intrinsic Dimensions of Language Fractal Structures. Complexity. 2024. (Scopus Q1, list A of HSE)
19. Gromov, Vasilii & Tomashchuk, Korney & Rukavishnikov, Alexey. (2024). Multi-Step-Ahead Prediction of Chaotic Time Series: Self-Healing Algorithm for Restoring Values at Non-Predictable Points. Qubahan Academic Journal. 4. 763-784. (Scopus Q1)
20. Haeun S., Yurii I., Anatoly K., Zakharov D., Zaikin A. A thermodynamic model of the REM–NREM sleep cycle // Chaos, Solitons and Fractals. 2025. Vol. 190. Article 115732. (Scopus Q1, list A of HSE)
21. I.K. Bakulin, I.V. Kopanichuk, N.D. Kondratyuk. Molecular-level insights to structure and hydrogen bonds network of 1,4-dioxane aqueous solution // Journal of Molecular Liquids, 2024 (Scopus Q1, list A of HSE)
22. Jiang X., Tan J., Liu D., Feng Y., Chen K., Kazakova E., Vasenko A., Chulkov E. Ferroelectric Polarization and Single-Atom Catalyst Synergistically Promoting CO2 Photoreduction of CuBiP2Se6 // J. Phys. Chem. Lett., 2024 (Scopus Q1, list A of HSE)
23. Jiang X., Tan J., Liu D., Feng Y., Chen K., Long R., Andrey S. Vasenko. Improved Carrier Separation and Recombination by Ferroelectric Polarization in the CuBiP2Se6/C2N Heterostructure: A Nonadiabatic Molecular Dynamics Study // J. Phys. Chem. Lett., 2024 (Scopus Q1, list A of HSE)
24. Kalikin N. N., Budkov Y. Modified Debye–Hückel–Onsager theory for electrical conductivity in aqueous electrolyte solutions: Account of ionic charge nonlocality // Journal of Chemical Physics. 2024. Vol. 161. No. 17. Article 174502. (Scopus Q1, list A of HSE)
25. Khnkoian G.V., Nikolaev V.S., V.V. Stegailov. Towards atomistic modelling of solid Pb-O formation and dissolution in liquid lead coolant: interatomic potential development // Journal of Nuclear Materials, 2024 (Scopus Q1, list A of HSE)
26. Koltcov S, Surkov A, Koltsova O, Ignatenko V. 2024. Using large language models for extracting and pre-annotating texts on mental health from noisy data in a low-resource language. PeerJ Computer Science 10:e2395 (Scopus Q1, list A of HSE)
27. Kononov A. I. et al. Replacing sulfuric acid with water in electrochemical metal-free mild aromatic C–H amidation: a direct route to N-phenylamides //Organic Chemistry Frontiers. – 2024. – Т. 11. – №. 20. – С. 5820-5830. (Scopus Q1, list A of HSE)
28. Konstantinova E., Shchur L. Algorithm for density of angle distribution in random sections of polyhedron // Expert Systems with Applications, 2024 (Scopus Q1, list A of HSE)
29. Korolkov, S.D. and Izmodenov, V.V. (2024) ‘The global structure of astrospheres: effect of Knudsen number’, Publications of the Astronomical Society of Australia, pp. 1–15. doi:10.1017/pasa.2024.44. (Scopus Q1, list A of HSE)
30. Krivoshchapov N. V., Medvedev M. G. Accurate and Efficient Conformer Sampling of Cyclic Drug-Like Molecules with Inverse Kinematics //Journal of Chemical Information and Modeling. – 2024. (Scopus Q1, list A of HSE)
31. Liang, M., Shishkin, M., Shchur, V. et al. Understanding admixture fractions: theory and estimation of gene-flow. J. Math. Biol. 89, 47 (2024). https://doi.org/10.1007/s00285-024-02146-0 (Scopus Q1, list A of HSE)
32. Liu Y., Han J., Sboev A., Makarov I. GEEF: A neural network model for automatic essay feedback generation by integrating writing skills assessment // Expert Systems with Applications. 2024. Vol. 245. Article 123043 (Scopus Q1, list A of HSE)
33. Loukachevitch N., Artemova E., Batura T., Braslavski P., Ivanov V., Manandhar S., Pugachev A., Rozhkov I., Shelmanov A., Tutubalina E., Yandutov A. NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links // Language Resources and Evaluation. 2024. Vol. 58. P. 547–583 (Scopus Q1, list A of HSE)
34. Makarov D. M., Kalikin N. N., Budkov Y. A. Prediction of Drug-like Compounds Solubility in Supercritical Carbon Dioxide: A Comparative Study between Classical Density Functional Theory and Machine Learning Approaches //Industrial & Engineering Chemistry Research. – 2024. – Т. 63. – №. 3. – С. 1589-1603. (Scopus Q1, list A of HSE)
35. Malyutina S. et al. The Rey Auditory Verbal Learning Test: adaptation into Russian and a new digital “RAVLT World” //The Clinical Neuropsychologist. – 2024. – С. 1-23. (Scopus Q1, list A of HSE)
36. M. S. Bahovadinov, R. O. Sharipov, B. L. Altshuler, and G. V. Shlyapnikov Tomonaga-Luttinger liquid–Bose-glass phase transition in a system of one-dimensional disordered fermions with pair hoppings // Phys. Rev. B, 2024 (Scopus Q1, list A of HSE)
37. Neverov, Vyacheslav D. and Lukyanov, Alexander E. and Krasavin, Andrey V. and Shanenko, Arkady A. and Croitoru, Mihail D. and Vagov, Alexei. Microscopic description of intermediate mixed state in superconductors between the first and second types // Phys. Rev. B v. 110, (Scopus Q1, list A of HSE)
38. Nikita Pospelov, Andrei Chertkov, Maxim Beketov, Ivan Oseledets, Konstantin Anokhin, Fast gradient-free activation maximization for neurons in spiking neural networks, Neurocomputing, Volume 618, 2025, 129070, ISSN 0925-2312 (Scopus Q1, list A of HSE)
39. Ntoumanis, Ioannis & Sheronova, Julia & Davydova, Alina & Dolgaleva, Maria & Jääskeläinen, Iiro & Kosonogov, Vladimir & Shestakova, Anna & Klucharev, Vasily. (2024). Deciphering the neural responses to a naturalistic persuasive message. Proceedings of the National Academy of Sciences. 121. 10.1073/pnas.2401317121. (Scopus Q1, list A of HSE)
40. O. Dogonasheva, Radushev D., B. Gutkin, D. Zakharov. Dynamical manifold dimensionality as characterization measure of chimera states in bursting neuronal networks Communications in Nonlinear Science and Numerical Simulation. 2025. Vol. 140. Article 10832 (Scopus Q1, list A of HSE)
41. Origin of the Improved Photoelectrochemical and Photocatalytic Activity in a ZnO-TiO2 Nanohybrid Revealed by Experimental and Density Functional Theory Studies Abinash Das, Dongyu Liu, Yifan Wu, Bayan Amer Abzakh, Madhumitha R, Preethi M, Elena A. Kazakova, Andrey S. Vasenko, and Oleg V. Prezhdo The Journal of Physical Chemistry Letters 2024 15 (29), 7524-7532 (Scopus Q1, list A of HSE)
42. Panidi K, Vorobiova AN, Feurra M, Klucharev V. Posterior parietal cortex is causally involved in reward valuation but not in probability weighting during risky choice. // Cerebral Cortex, 2024 (Scopus Q1, list A of HSE)
43. Pozdnyakov V., Kovalenko A., Makarov I., Drobyshevskiy M., Lukyanov K. Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process // IEEE Open Journal of the Industrial Electronics Society. 2024. No. 5. P. 428–440. (Scopus Q1, list C of HSE)
44. Prutyanov V. V. et al. Impact of Memory Hierarchy on Memory Encryption Performance //IEEE Access. – 2024. (Scopus Q1, list A of HSE)
45. Shirnin A., Andreev N., Potapova S., Artemova E. Analyzing the Robustness of Vision & Language Models // IEEE/ACM Trans. Audio, Speech, Lang. Process., 2024 (Scopus Q1, list A of HSE)
46. Smirnov G., Peil O., Ruban A., Simak S., Belonoshko A. Impact of magnetism on Fe phase diagram under extreme conditions // Phys. Rev. Letters, 2024 (Scopus Q1, list A of HSE)
47. S. Shalileh, M. Kairov, R. Baminiwatte, O. Parshina and O. Dragoy, "Predicting First-Language and Second-Language Proficiency Using Eye Fixation Data and Demographic Information: Assumptions, Data Representations, and Methods," in IEEE Access, vol. 12, pp. 145832-145844, 2024 (Scopus Q1, list A of HSE)
48. S. Ya. Bronin, E. V. Vikhrov, S. A. Saakyan, B. B. Zelener, B. V. Zelener // Electronic resonances in expanding non-neutral ultracold plasma // Physics of Plasmas, 2024 (Scopus Q1, list A of HSE)
49. Tan J. et al. The origin of broadband blue emission in zero-dimensional organic lead iodine perovskites: A first-principles study //The Journal of Chemical Physics. – 2024. – Т. 161. – №. 14. (Scopus Q1, list A of HSE)
50. Tian-Cheng Yi, Song Cheng, Ian Pilé, Evgeni Burovski, Rubem Mondaini. Two-dimensional polarized superfluids under the prism of the fermion sign problem. // Phys. Rev. B, 2024 (Scopus Q1, list A of HSE)
51. Trofimova E., Sataev E., Ustyuzhanin A. Linguacodus: a synergistic framework for transformative code generation in machine learning pipelines //PeerJ Computer Science. – 2024. – Т. 10. – С. e2328. (Scopus Q1, list A of HSE)
52. Tyukina S. P. et al. Binomial Uncertainty in Molecular Dynamics-Based Reactions Analysis //The Journal of Physical Chemistry Letters. – 2024. – Т. 15. – №. 7. – С. 2105-2110. (Scopus Q1, list A of HSE)
53. Vitaliy Pozdnyakov, Ilya Makarov, Aleksandr Kovalenko Graph Neural Networks With Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data // IEEE Access. 2024. Vol. 12. P. 152860 – 152872. (Scopus Q1, list A of HSE)
54. V. Mozolenko, M. Fadeeva, L. N. Shchur, Comparison of the microcanonical population annealing algorithm with the Wang-Landau algorithm, Phys. Rev. E 110, 045301 (2024) (Scopus Q1, list A of HSE)
55. Мыльников Л. А. и др. Составление ESG-рейтинга методом многокритериального ранжирования с использованием NLP на примере российских компаний //Известия Иркутского государственного университета. Серия «Математика». – 2024. – Т. 50. – №. 0. – С. 125-142. (Scopus Q1, list C of HSE)

Статьи Core A*

1. Andreev N. et al. Papilusion at DAGPap24: Paper or Illusion? Detecting AI-generated Scientific Papers //Proceedings of the Fourth Workshop on Scholarly Document Processing. – 2024. (CORE A*, list A_conf of HSE)
2. Dayoub Y., Andrey V. Savchenko, Makarov I. Pose Networks Unveiled: Bridging the Gap for Monocular Depth Perception, in : ISMAR 2024 (IEEE International Symposium on Mixed and Augmented Reality), October 23-25, Seattle USA. / Ed. by U. Eck, M. Sra, J. Stefanucci, M. Sugimoto, M. Tatzgern, I. Williams. IEEE, 2024.P. 584–587. (CORE A*, list A_conf of HSE)
3. Denis Bobkov, Vadim Titov, Aibek Alanov, Dmitry Vetrov, The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing // The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024 (CORE A*, list A_conf of HSE)
4. Ekaterina Grishina, Mikhail Gorbunov, Maxim Rakhuba. Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers // The 18th European Conference on Computer Vision ECCV 2024. (CORE A*, list A_conf of HSE)
5. Elistratov, Podivilov, Iuzhakov, Vetrov. Lion's sign noise can make training more stable. OPT2024: Optimization for Machine (CORE A*, list A_conf of HSE)
6. Gambashidze A. et al. Weak-to-Strong 3D Object Detection with X-Ray Distillation //Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. – 2024. – С. 15055-15064 (CORE A*, list A_conf of HSE)
7. Mangold, Paul et al. “SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning.” (2024). (CORE A*, list A_conf of HSE)
8. M. Golyadkin, S. Saraev and I. Makarov, "Benchmarking and Data Synthesis for Colorization of Manga Sequential Pages for Augmented Reality," 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Bellevue, WA, USA, 2024, pp. 608-611. (CORE A*, list A_conf of HSE)
9. Morozov N., Tiapkin D., Samsonov S., Naumov A., Vetrov D. Improving GFlowNets with Monte Carlo Tree Search // ICML, 2024 (CORE A*, list A_conf of HSE)
10. Mozikov M., Severin N., Bodishtianu V., Glushanina M., Nasonov I., Orekhov D., Pekhotin V., Makovetskiy I., Baklashkin M., Lavrentyev V., Tsvigun A., Turdakov D., Shavrina T., Savchenko A., Makarov I. EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas , in : Advances in Neural Information Processing Systems 38 (NeurIPS 2024). [б.и.], 2024. P. 1–34. (CORE A*, list A_conf of HSE)
11. Nikolaev, Maxim and Kuznetsov, Mikhail and Vetrov, Dmitry and Alanov, Aibek. HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach // arXiv preprint arXiv:2404.01094. – 2024. (CORE A*, list A_conf of HSE)
12. Pozdnyakov V., Makarov I., Aleksandr Kovalenko, Drobyshevskiy M., Lukyanov K. AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes , in : Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24). / Ed. by K. Larson. International Joint Conferences on Artificial Intelligence, 2024. P. 8776–8779. (CORE A*, list A_conf of HSE)
13. Rakitin D., Shchekotov I., Vetrov D. Regularized Distribution Matching Distillation for One-step Unpaired Image-to-Image Translation //ICML 2024 Workshop on Structured Probabilistic Inference & Generative Modeling (CORE A*, list A_conf of HSE)
14. Titov V. et al. Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing //European Conference on Computer Vision. – Cham : Springer Nature Switzerland, 2024. – С. 235-251. (CORE A*, list A_conf of HSE)
15. Veronika Ganeeva, Andrey Sakhovskiy, Kuzma Khrabrov, Andrey Savchenko, Artur Kadurin, and Elena Tutubalina. 2024. Lost in Translation: Chemical Language Models and the Misunderstanding of Molecule Structures. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 12994–13013, Miami, Florida, USA. Association for Computational Linguistics. (CORE A*, list A_conf of HSE)

Статьи Scopus Q2

1. Glushak A.A., Tararushkin E.V., Smirnov G.S., Kalinichev A.G. Molecular dynamics simulation of hydrocalumite as adsorbent for anionic radionuclides // Applied Geochemistry, 2024, V. 170, P. 106089. (Scopus Q2, list A+ of HSE)
2. Kalyagin V., Kostylev I. Robustness of Graphical Lasso Optimization Algorithm for Learning a Graphical Model //International Conference on Mathematical Optimization Theory and Operations Research. – Cham : Springer Nature Switzerland, 2024. – С. 337-348. (Scopus Q2)
3. Krot A. D. et al. Atomistic Computer Simulations of Uranyl Adsorption on Hydrated Illite and Smectite Surfaces //Minerals. – 2024. – Т. 14. – №. 1. – С. 109. (Scopus Q2, list C of HSE)
4. L.F. Zhukova, L.N. Shchur, Evolution of local computing time in parallel modeling of mobile networks, Frontiers in Physics, 12, 1248643 (2024) (Scopus Q2, list A of HSE)
5. Mazur D., Petr E. Brandyshev, Doronin S. V., Budkov Y. Understanding the Electric Double Layer at the Electrode-Electrolyte Interface: Part I – No Ion Specific Adsorption // ChemPhysChem. 2024. Vol. 25. No. 23. Article e20240065050. (Scopus Q2, list A of HSE)
6. Pavlov D, Galigerov V, Kolotinskii D, Nikolskiy V, Stegailov V. GPU-based molecular dynamics of fluid flows: Reaching for turbulence. The International Journal of High Performance Computing Applications. 2024;38(1):34-49. doi:10.1177/10943420231213013 (Scopus Q2, list A of HSE)
7. Yaremenko I. A., Fomenkov D. I., Budekhin R. A., Radulov P. S., Medvedev M .G., Krivoshchapov N. V., Liang-Nian He, Alabugin I. V., Terent’ev A. O. Interrupted Dance of Five Heteroatoms: Reinventing Ozonolysis to Make Geminal Alkoxyhydroperoxides from C═N Bonds // Journal of organic chemistry, 2024 (Scopus Q2, list A of HSE)

Статьи Core A

1. Chernyavskiy A., Ilvovsky D., Nakov P. Unleashing the Power of Discourse-Enhanced Transformers for Propaganda Detection, in : Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: (Volume 1: Long Papers). Association for Computational Linguistics, 2024. P. 1452–1462. (CORE A, list A_conf of HSE)
2. Peshekhonov I., Arzhantsev A., Rakhuba M. Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach // Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, 2024 (CORE A, list A_conf of HSE)
3. Ramazyan T., Hushchyn M., Derkach D. Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space //ECAI 2024. – IOS Press, 2024. – С. 2394-2401. (CORE A, list A_conf of HSE)
4. Tiapkin D., Morozov N., Naumov A., Vetrov D. P. Generative Flow Networks as Entropy-Regularized RL // Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR, 2024 (CORE A, list A_conf of HSE)

Статьи Scopus Q3

1. Budkov Y. A., Kalikin N. N., Brandyshev P. E. Thermomechanical approach to calculating mechanical stresses in inhomogeneous fluids and its applications to ionic fluids //Journal of Statistical Mechanics: Theory and Experiment. – 2024. – Т. 2024. – №. 12. – С. 123201. (Scopus Q3, list A of HSE)
2. Koznov D. V. et al. Calculating Similarity of Javadoc Comments //Programming and Computer Software. – 2024. – Т. 50. – №. 1. – С. 85-89. (Scopus Q3, list C of HSE)
3. Lyutkin D. A., Pozdnyakov D. V., Soloviev A. A., Zhukov D. V., Malik M. S., Ignatov D. I. Transformer-Based Classification of User Queries for Medical Consultancy // Automation and Remote Control. 2024. Vol. 85. No. 3. P. 297-308 (Scopus Q3, list B of HSE)
4. Кузьмин А.В., Хасанова Э.И., Мелетов К.П., Зверев В.Н., Хасанов С.С. Квазидвумерный органический проводник κ -( BEDT-TTF)2 Cu[ N( CN)2] Cl. Конформационный беспорядок и зарядовая структура проводящих слоев // ЖЭТФ, 2024, том 166, вып. 6 (12), стр. 795–812. (Scopus Q3, list B of HSE)
5. М. Ю. Каган, Р. Ш. Ихсанов, И. А. Ковалев, А. В. Красавин, Е. А. Мазур "Сверхпроводимость и неоднородные состояния в металлическом водороде и электронных системах с притяжением" // ЖЭТФ, 2024, том 166, вып. 1 (7), стр. 89-97 (Scopus Q3, list B of HSE)

Статьи Scopus Q4

1. Al-Maeeni A., Derkach D., Ustyuzhanin A. Engineering Point Defects in MoS for Tailored Material Properties Using Large Language Models //Moscow University Physics Bulletin. – 2024. – Т. 79. – №. Suppl 2. – С. S818-S827. (Scopus Q4, list C of HSE)
2. Gromov, V.A., Zvorykina, E.I., Beschastnov, Y.N., Sohrabi, M. (2024). Date-Driven Approach for Identifying State of Hemodialysis Fistulas: Entropy-Complexity and Formal Concept Analysis. In: Ignatov, D.I., et al. Recent Trends in Analysis of Images, Social Networks and Texts. AIST 2023. Communications in Computer and Information Science, vol 1905. Springer, Cham (Scopus Q4)
3. Savchenko A., Maslov D., Makarov I. Device-Specific Facial Descriptors: Winning a Lottery with a SuperNet // Frontiers in Artificial Intelligence and Applications. 2024. Vol. 392. P. 4439–4442. (Scopus Q4, list C of HSE)

Другие

1. Al-Maeeni A. et al. Digital Twins for Storage Systems and RAID Pools: Enhancing Data Management in High Energy Physics //EPJ Web of Conferences. – EDP Sciences, 2024.
2. Arutyunov G.A., Avdoshin S.M. GraphTyper: Neural types inference from code represented as graph.. Proceedings of the Institute for System Programming, vol. 36, issue 4, 2024, pp. 69-80 DOI: 10.15514/ISPRAS-2024-36(4)-6.
3. Chertenkov V., Shchur L. Machine Learning Domain Adaptation in Spin Models with Continuous Phase Transitions //arXiv preprint arXiv:2411.13027. – 2024.
4. Faizullina K., Burovski E. XY model on a self-avoiding walk // arXiv, 2024
5. Fominykh, Nikita & Stegailov, Vladimir. (2024). Trimeron ordering, bandgap and polaron hopping in magnetite. 10.48550/arXiv.2412.20865.
6. Iablochnikov, Viacheslav & Rogachev, Alexander. (2024). Attacks on multimodal models. 10.48550/arXiv.2412.01725.
7. Kashurin, Oleg & Deshchenya, Vladimir & Kondratyuk, Nikolay. (2024). Probing Shear Viscosities of Tributyrin+1-Decanol and 1,2-Butanediol+1-Decanol Mixtures by Molecular Dynamics Methods. 10.2139/ssrn.4705420.
8. Latipov, Insan-Aleksandr & Borevskiy, Andrey & Kertesz-Farkas, Attila. (2024). CLEVR-BT-DB: a benchmark dataset to evaluate the reasoning abilities of deep neural models in visual question answering problems. 13. 10.1117/12.3027602.
9. Sergey Samsonov and Eric Moulines and Qi-Man Shao and Zhuo-Song Zhang and Alexey Naumov. Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning. arXiv, 2024.
10. Severin N. et al. LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering //arXiv preprint arXiv:2411.00556. – 2024.
11. Sukhoverkhova D., Mozolenko V., Shchur L. Latent heat estimation with machine learning //arXiv preprint arXiv:2411.00733. – 2024.
12. Sulimov, Daniil. (2024). Prompt-Efficient Fine-Tuning for GPT-like Deep Models to Reduce Hallucination and to Improve Reproducibility in Scientific Text Generation Using Stochastic Optimisation Techniques. 10.48550/arXiv.2411.06445.
13. UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms, Ilya Levin and Denis Belomestny and Alexey Naumov and Sergey Samsonov, INTERNATIONAL CONFERENCE ON COMPUTATIONAL OPTIMIZATION, 2024
14. Voevodin, Vadim & I., Shaikhislamov & A., Serov. (2024). TASC Software for HPC Performance Analysis: Current State and Latest Developments. Вычислительная математика и информатика. 13.
15. Бобер С.А., Аксенов С.А. Метод построения низкоэнергетических траекторий выведения космического аппарата на орбиты искусственного спутника Луны // Космические исследования. - 2024. - Т. 62. - №5. - C. 444-455.
16. Болдырев К. А., Глушак А. А., Писарев В. В., Смирнов Г. С., Тарарушкин Е. В., Михайлова П. С. Применение метода молекулярной динамики в задачах прогнозирования поведения материалов инженерных барьеров безопасности ПЗРО // Радиоактивные отходы. 2024. № 3. С. 83–95.
17. Вацадзе С. З., Медведько А. В., Миракбаров М. Х., Миняев М. Е., Хрусталёв В. Н., Зарипов Д. У., Медведев М. Г., Алабугин И. В. Не все углерод-углеродные связи одинаковы: аномерный эффект sp-гибридного атома углерода // Известия Академии наук. Серия химическая. 2024. Т. 73. № 2. С. 363–371.
18. В.В. Писарев, Г.В. Промыслов, А.В. Тимофеев. Оценочное тестирование эффективности вычислительных узлов суперкомпьютера cHARISMa для задач глубокого обучения //Суперкомпьютерные дни в России : Труды международной конференции. 23–24 сентября 2024 г., Москва / Под. ред. Вл. В. Воеводина. – Москва : МАКС Пресс, 2024. – 242 с.
19. Г. А. Арутюнов, С. М. Авдошин, “GraphTyper: Вывод типов из графовой репрезентации кода посредством нейронных сетей”, Труды ИСП РАН, 36:4 (2024), 69–80
20. Грицаев Т. Г., Morozov N., Samsonov S., Tiapkin D. Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization / Series arXiv "math". 2024.
21. И.Э. Недомолкин, М.П. Коников, В.В. Стегайлов, А.В. Тимофеев, И.Д. Федоров. Оценка производительности суперкомпьютера “cHARISMa” и его компонент для квантовой химии на примере пакетов в CP2K и Quantum Espresso //Суперкомпьютерные дни в России : Труды международной конференции. 23–24 сентября 2024 г., Москва / Под. ред. Вл. В. Воеводина. – Москва : МАКС Пресс, 2024. – 242 с.
22. Люткин Д. А., Поздняков Д. В., Соловьев А. А., Жуков Д. В., Малик М. Ш., Игнатов Д. И. Применение трансформеров для определения профильного врача на основе запросов пользователей // Автоматика и телемеханика, 2024
23. Нефедов С. И., Ожегов Р. В., Евсютин О. О., Елезов М. С., Морозов В. И. Проблемы создания систем квантового распределения ключей для магистральных линий большой протяженности // Наноиндустрия. 2024. Т. 17. № S10-2 (128). С. 553–558.
24. С. А. Сластников, Л. Ф. Жукова, И. В. Семичаснов "Приложение поиска, анализа и прогнозирования данных в социальных сетях" // Информационные технологии и вычислительные системы. 2024. № 1. С. 97-108. // doi: 10.14357/20718632240110
25. Сохраби М., Фатхоллахи-Фард А.М., Громов В.А. Алгоритм генетической инженерии (GEA): эффективный метаэвристический алгоритм для решения задач комбинаторной оптимизации // Автоматика и телемеханика, 2024
26. Шведов А.С., Свиязов В.А. Применение моделей, основанных на нечеткой логике, к финансовым временным рядам // Труды 46-й Международной научной школы-семинара имени академика С.С. Шаталина «Системное моделирование социально-экономических процессов», Уфа, 9 – 15 октября 2023, с. 526 – 531 / Под общ. ред.: И. Н. Щепина. Воронеж: Истоки, 2024. С. 526–531.
27. Pozdnyakov V., Makarov I., Maksim Kazadaev Time Series Generation with GANs for Momentum Effect Simulation on Moscow Stock Exchange, in : Proceedings of the IEEE/IAFE Computational Intelligence for Financial Engineering (CIFEr-24). IEEE, 2024. P. 1–7. (CORE other)
28. Zhernokleev D., Braslavski P. Needle in a Haystack: Finding Suitable Idioms Based on Text Descriptions //International Conference on Analysis of Images, Social Networks and Texts. – Cham : Springer Nature Switzerland, 2023. – С. 185-196. (CORE other)

Статьи Scopus Q1

1. Abbas Y., Malik M. S. I. Defective products identification framework using online reviews // Electronic Commerce Research, 2023 (Scopus Q1, list A of HSE)
2. Abinash Das, Dongyu Liu, Riu Riu Wary, Andrey S. Vasenko, Oleg V. Prezhdo, and Ranjith G. Nair. Mn-Modified ZnO Nanoflakes for Optimal Photoelectrochemical Performance Under Visible Light: Experimental Designand Theoretical Rationalization // The Journal of Physical Chemistry Letters, 2023 (Scopus Q1, list A of HSE)
3. Ali G., Малик М. Ш. Rumour identification on Twitter as a function of novel textual and language-context features // Multimedia Tools and Applications, 2023 (Scopus Q1, list A of HSE)
4. Bahovadinov M.S., Buijsman W., Fedorov A.K., Gritsev V., Kurlov D.V. Many-body localization of Z3 Fock parafermions // Phys. Rev. B, 2022 (Scopus Q1, list A of HSE)
5. Bahovadinov M. S., Sharipov R. O., Altshuler B. L., Shlyapnikov G. V. Tomonaga-Luttinger liquid-Bose glass phase transition in a system of 1D disordered fermions with pair hoppings // Physical Review B, 2023 (Scopus Q1, list A of HSE)
6. Baranov A., Kniazhevsky V., Braslavski P. You Told Me That Joke Twice: A Systematic Investigation of Transferability and Robustness of Humor Detection Models // The 2023 Conference on Empirical Methods in Natural Language Processing. – 2023. (Scopus Q1, list A_conf of HSE)
7. Belonoshko A., Smirnov G. A Comparison of Experimental and Ab Initio Structural Data on Fe under Extreme Conditions // Metals, 2023 (Scopus Q1, list C of HSE)
8. Berezovskiy V., Gorodilova A., Trofimova​ E., Ustyuzhanin A. Machine learning code snippets semantic classification // PeerJ Computer Science, 2023 (Scopus Q1, list A of HSE)
9. Budkov Y. A., Brandyshev P. E., Kalikin N.N. Theory of self-coacervation in semi-dilute and concentrated zwitterionic polymer solutions // Soft Matter, 2023 (Scopus Q1, list A of HSE)
10. Budkov Y., Kalikin N. Macroscopic forces in inhomogeneous polyelectrolyte solutions // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 2023 (Scopus Q1, list A of HSE)
11. Chertenkov V., Burovski E., Shchur L. Finite-size analysis in neural network classification of critical phenomena // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 2023 (Scopus Q1, list A of HSE)
12. Das A., Liu D., Wary R., Vasenko A., Prezhdo O., Nair R. Enhancement of Photocatalytic and Photoelectrochemical Performance of ZnO by Mg Doping: Experimental and Density Functional Theory Insights // Journal of Physical Chemistry Letters, 2023 (Scopus Q1, list A of HSE)
13. Demianenko M., Malanchev K., Samorodova E., Sysak M., Shiriaev A., Derkach D., Hushchyn M. Understanding of the properties of neural network approaches for transient light curve approximations // Astronomy and Astrophysics, 2023 (Scopus Q1, list A of HSE)
14. D. Kolotinskii, A. Timofeev. OpenDust: A fast GPU-accelerated code for the calculation of forces acting on microparticles in a plasma flow // Computer Physics Communications, 2023 (Scopus Q1, list A of HSE)
15. Fedorov I.D., Stegailov V.V. Exciton Nature of Plasma Phase Transition in Warm Dense Fluid Hydrogen: ROKS Simulation // ChemPhysChem, 2023 (Scopus Q1, list A of HSE)
16. Glushak A., Smirnov G. Partial proton ordering during phase transition in Friedel’s salt // Applied Clay Science, 2023 (Scopus Q1, list A of HSE)
17. Golyadkin, M., Pozdnyakov, V., Zhukov, L., Makarov, I. SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes // Artificial Intelligence, 2023 (Scopus Q1, list A of HSE)
18. Gromov V. A., Dang Q. N. Semantic and sentiment trajectories of literary masterpieces // Chaos, Solitons and Fractals, 2023 (Scopus Q1, list A of HSE)
19. Gurina, D. L., Budkov, Y. A. Insights into the self-assembly of water reverse micelles and solubilization process in liquid and supercritical solvents: A molecular dynamics study // Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2023 (Scopus Q1, list A of HSE)
20. Gurina D., Odintsova Е., Krestianinov M., Budkov Y. Transport properties of imidazolium-based room temperature ionic liquids in confinement of slit charged carbon nanopores: New insights from molecular simulations // Journal of Molecular Liquids, 2023 (Scopus Q1, list A of HSE)
21. Huang, P., Lukin, R., Faleev, M., Al-Maeeni A. et al. Unveiling the complex structure-property correlation of defects in 2D materials based on high throughput datasets // npj 2d materials and applications. Nature, 2023 (Scopus Q1, list A of HSE)
22. Ikhsanov R., Protsenko I., Smetanin I., Nikonorov N., Uskov A. Local and Global Directionality Patterns of Electron Photoemission from Plasmonic Nanoparticles // Journal of Physical Chemistry C, 2023 (Scopus Q1, list A+ of HSE)
23. Kazeev, N., Al-Maeeni, A.R., Romanov, I. Sparse representation for machine learning the properties of defects in 2D materials // npj Comput Mater, 2023 (Scopus Q1, list A of HSE)
24. Ke Wang, Dongyu Liu, Limin Liu, Xinyang Li, Hu Wu, Zongjie Sun, Mingtao Li, Vasenko A., Shujiang Ding, Fengmei Wang, Chunhui Xiao. Isolated Metalloid Tellurium Atomic Cluster on Nitrogen-Doped Carbon Nanosheet for High-Capacity Rechargeable Lithium-CO2 Battery // Advanced Science, 2023 (Scopus Q1, list A of HSE)
25. Koltcov S., Surkov A., Filippov V., Ignatenko V. Random forests with parametric entropy-based information gains for classification and regression problems // PeerJ computer science, 2023 (Scopus Q1, list A of HSE)
26. Koltcov S., Surkov A., Filippov V., Ignatenko V. Topic models with elements of neural networks: investigation of stability, coherence, and determining the optimal number of topics // PeerJ Computer Science, 2023 (Scopus Q1, list A of HSE)
27. Kondratyuk N. et al. First-principles calculations of the viscosity in multicomponent metallic melts: Al-Cu-Ni as a test case //Journal of Molecular Liquids, 2023 (Scopus Q1, list A of HSE)
28. Liu D., Wu Y., Vasenko A., Prezhdo O. Grain Boundary Sliding and Distortion Induce Trap States in CsPbBr3: Ab Initio Investigation with Machine Learning Force Field // Nanoscale, 2023 (Scopus Q1, list A of HSE)
29. Li X., Makarov I., Киселёв Д. А. Predicting Molecule Toxicity via Descriptor-based Graph Self-supervised Learning // IEEE Access, 2023 (Scopus Q1, list A of HSE)
30. Loukachevitch N., Manandhar S., Baral E., Rozhkov I., Браславский П. И., Ivanov V., Batura T., Тутубалина Е. В. NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named Entities // Bioinformatics, 2023 (Scopus Q1, list A of HSE)
31. Malik M., Nazarova A., Mona M., Ignatov D. Multilingual Hope Speech Detection: A Robust Framework Using Transfer Learning of Fine-tuning Roberta Model // Journal of King Saud University-Computer and Information Sciences, 2023 (Scopus Q1, list C of HSE)
32. Minnigulova A., Davydova E., Pereverzeva D., Sorokin A., Tyushkevich S., Mamokhina U., Danilin K., Dragoy O., Arutiunian V. Corpus callosum organization and its implication to core and co-occurring symptoms of Autism Spectrum Disorder // Brain Structure and Function, 2023 (Scopus Q1, list A of HSE)
33. Nelyubina M., Minnigulova A., Karpychev V., Pedyash N., Zuev A., Dragoy O. Decreased volumes of the MLF but not ILF predicts behavioural deficits in language comprehension and repetition: evidence from tractography analysis // Brain Structure and Function , 2023 (Scopus Q1, list A of HSE)
34. Potapova A. et al. Dimensional crossover on multileg attractive-U Hubbard ladders // Physical Review A, 2023 (Scopus Q1, list A of HSE)
35. Potapova A., Pilé I., Yi T., Mondaini R., Burovski E. Dimensional crossover on multileg attractive-U Hubbard ladders // Physical Review A: Atomic, Molecular, and Optical physics, 2023 (Scopus Q1, list A of HSE)
36. Rehan M., Malik M., Jamjoom M. Fine-Tuning Transformer Models Using Transfer Learning for Multilingual Threatening Text Identification // IEEE Access, 2023 (Scopus Q1, list A of HSE)
37. Ryzhikov A., Hushchyn M., Derkach D. Latent Stochastic Differential Equations for Change Point Detection // IEEE Access, 2023 (Scopus Q1, list A of HSE)
38. Shalileh S, Ignatov D, Lopukhina A, Dragoy O. Identifying dyslexia in school pupils from eye movement and demographic data using artificial intelligence // PLoS ONE, 2023 (Scopus Q1, list A of HSE)
39. Tianxing M., Vodyaho A., Ignatov D., Kulikov I., Zhukova N. Synthesis of multilevel knowledge graphs: Methods and technologies for dynamic networks // Engineering Applications of Artificial Intelligence, 2023 (Scopus Q1, list A of HSE)
40. Trofimova E. A., Drozdova A. V., Guseva P., Scherbakova A., Ustyuzhanin A. Code4ML: a large-scale dataset of annotated Machine Learning code // PeerJ Computer Science, 2023 (Scopus Q1, list A of HSE)
41. Vasileva V. A., Mazur D. A., Budkov Y. A. Theory of electrolyte solutions in a slit charged pore: Effects of structural interactions and specific adsorption of ions // Journal of Chemical Physics, 2023 (Scopus Q1, list A of HSE)
42. Younas M. Z., Malik M. S., Ignatov D.I. Automated Defect Identification for Cell Phones Using Language Context, Linguistic and Smoke-Word Models // Expert Systems with Applications, 2023 (Scopus Q1, list A of HSE)
43. Малик М. Ш., Imran T., Mona Mamdouh J. How to detect propaganda from social media? Exploitation of semantic and fine-tuned language models // PeerJ Computer Science, 2023 (Scopus Q1, list A of HSE)

Статьи Core A*

1. Alanov A., Titov V., Nakhodnov M., VetrovD., StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation // Proceedings of the IEEE International Conference on Computer Vision, 2023 (CORE A*, list A_conf of HSE)
2. Morozov N., Rakitin D., Desheulin O., Vetrov D., Struminsky K. Differentiable Rendering with Reparameterized Volume Sampling // Neural Fields across Fields: Methods and Applications of Implicit Neural Representations, 2023 (CORE A*, list A_conf of HSE)
3. Okhotin A., Molchanov D., Arkhipkin V., Bartosh G., Ohanesian V., Alanov A.., Vetrov, D. P., Star-Shaped Denoising Diffusion Probabilistic Models, Advances in Neural Information Processing Systems 36 (NeurIPS 2023): труды конференции. — Curran Associates, Inc., 2023. — P. 10038-10067. (CORE A*, list A_conf of HSE)
4. Rofin M., Mikhailov V., Florinskiy M.F., Kravchenko A., Tutubalina E., Shavrina T., Karabekyan D., Artemova, E. Vote'n'Rank: Revision of Benchmarking with Social Choice Theory // European Chapter of the Association for Computational Linguistics, 2023 (CORE A*, list A_conf of HSE)
5. Rofin M., Mikhailov V., Florinsky M., Kravchenko A., Shavrina T., Tutubalina E., Karabekyan D., Artemova E. Vote’n’Rank: Revision of Benchmarking with Social Choice Theory // Conference of the European Chapter of the Association for Computational Linguistics, 2023 (CORE A*, list A_conf of HSE)
6. Sadrtdinov I., Pozdeev D., Vetrov D., Lobacheva E. To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning // NeurIPS, 2023 (CORE A*, list A_conf of HSE)

Статьи Scopus Q2

1. Egorov E. A., Rogachev A. I. Adaptive spectral normalization for generative models // Doklady Mathematics, 2023 (Scopus Q2, list B of HSE)
2. Galitsky B., Ilvovsky D., Goldberg S. Shaped-Charge Learning Architecture for the Human–Machine Teams // Entropy, 2023 (Scopus Q2, list C of HSE)
3. Gromov V. A., Baranov P. S., Tsybakin A. Yu. Prediction after a Horizon of Predictability: Non-Predictable Points and Partial Multi-Step Prediction for Chaotic Time Series // Neurocomputing, 2023 (Scopus Q2, list A of HSE)
4. Gromov V.A., Kogan A.S. Spot the Bot: Coarse-Grained Partition of Semantic Paths for Bots and Humans // Pattern Recognition and Machine Intelligence, 2023. pp. 348--355 (Scopus Q2)
5. Ignatov, D.I. On the Number of Maximal Antichains in Boolean Lattices for n up to 7 // Lobachevskii Journal of Mathematics, 2023 (Scopus Q2, list C of HSE)
6. Latyshev P, Pavlov F, Herbert A, Poptsova M. Unsupervised domain adaptation methods for cross-species transfer of regulatory code signals // Frontiers in Big Data, 2023 (Scopus Q2, list C of HSE)
7. Malik M., Nawaz A. SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction // Knowledge and Information Systems, 2023 (Scopus Q2, list A of HSE)
8. Mistryukova L., Plotnikov A., Khizhik A., Knyazeva I., Hushchyn M., Derkach D. Stokes Inversion Techniques with Neural Networks: Analysis of Uncertainty in Parameter Estimation // Solar Physics, 2023 (Scopus Q2, list A of HSE)
9. Muhammad Shahid Iqbal Malik, Tahir Imran, Jamjoom Mona Mamdouh. How to detect propaganda from social media? Exploitation of semantic and fine-tuned language models // PeerJ Computer Science, 2023 (Scopus Q2, list A of HSE)
10. Ntoumanis I, Shestakova A, Koriakina M, Kadieva D, Kopytin G and Jääskeläinen IP. Developmental differences in the perception of naturalistic human movements // Front. Hum. Neurosci, 2023 (Scopus Q2, list A of HSE)
11. Pavel Latyshev, Fedor Pavlov, Herbert A., Poptsova M. Unsupervised Domain Adaptation Methods for Cross-Species Transfer of Regulatory Code Signals // Frontiers in Big Data, 2023 (Scopus Q2, list C of HSE)
12. Popov S, Lazarev M, Belavin V, Derkach D, Ustyuzhanin A. Symbolic expression generation via variational auto-encoder // PeerJ Computer Science, 2023 (Scopus Q2, list A of HSE)
13. Shalileh S. An Effective Partitional Crisp Clustering Method Using Gradient Descent Approach // Mathematics, 2023 (Scopus Q2, list B of HSE)
14. Shalileh S., Koptseva A., Shishkovskaya T., Khudyakova M., Dragoy O. An Explained Artificial Intelligence-Based Solution to Identify Depression Severity Symptoms Using Acoustic Features // Doklady Mathemtics, 2023 (Scopus Q2)
15. Straumal B. B., Shchur L., Kagramanyan D., Konstantinova E.P., Druzhinin A., Nekrasov A. Topology of WC/Co Interfaces in Cemented Carbides // Materials, 2023 (Scopus Q2, list C of HSE)
16. Tararushkin E. V., Pisarev V. V., Kalinichev A. G. Equation of State, Compressibility, and Vibrational Properties of Brucite over Wide Pressure and Temperature Ranges: Atomistic Computer Simulations with the Modified ClayFF Classical Force Field // Minerals, 2023 (Scopus Q2, list C of HSE)
17. Tararushkin E. V., Pisarev V. V., Kalinichev A. G. Interaction of Nitrite Ions with Hydrated Portlandite Surfaces: Atomistic Computer Simulation Study // Materials, 2023 (Scopus Q2, list C of HSE)
18. Tararushkin E. V., Smirnov G. S., Kalinichev A. G. Structure and Properties of Water in a New Model of the 10-Å Phase: Classical and Ab Initio Atomistic Computational Modeling // Minerals, 2023 (Scopus Q2, list C of HSE)
19. Егоров Е. А., Рогачев А. И. Исследование влияния адаптивной спектральной нормализации на качество генеративных моделей и стабильность их обучения // Doklady Mathematics, 2023 (Scopus Q2, list B of HSE)
20. Игнатов Д. И. On the Number of Maximal Antichains in Boolean Lattices for n up to 7 // Lobachevskii Journal of Mathematics, 2023 (Scopus Q2, list C of HSE)
21. Малик М. Ш., Uswa C., Игнатов Д. И. Contextual Embeddings based on Fine-tuned Urdu-BERT for Urdu Threatening Content and Target Identification // Journal of King Saud University - Computer and Information Sciences, 2023 (Scopus Q2, list C of HSE)

Статьи Core A

1. Efimov P., Boytsov L., Arslanova E., Braslavski P. The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer // European Conference on Information Retrieval, 2023 (CORE A, list A_conf of HSE)

Статьи Scopus Q3

1. Bakshandaeva D. D., Dimitrov D. V., Arkhipkin V. S., Shonenkov A. V., Potanin M. S., Karachev D. K., Kuznetsov A. V., Voronov A.D., Petiushko A. A., Davydova V. F., Tutubalina E. V. Many heads but one brain: FusionBrain – a single multimodal multitask architecture and a competition // Computer Optics, 2023 (Scopus Q3, list C of HSE)
2. Budkov Y., Kalikin N. Dielectric Mismatch Effects on Polyelectrolyte Solutions in Electrified Nanopores: Insights from Mean-Field Theory // Polymer Science - Series C, 2023 (Scopus Q3, list C of HSE)
3. Efimov, P., Boytsov, L., Arslanova, E., Braslavski, P. The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer. // 45th European Conference on Information Retrieval, ECIR 2023. Lecture Notes in Computer Science (Scopus Q3, list A_conf of HSE)
4. Gromov, V., Dang, Q.N. Spot the Bot: Distinguishing Human-Written and Bot-Generated Texts Using Clustering and Information Theory Techniques. // Pattern Recognition and Machine Intelligence. PReMI 2023. Lecture Notes in Computer Science (Scopus Q3)
5. Ignatov, D. A Note on the Number of (Maximal) Antichains in the Lattice of Set Partitions // Graph-Based Representation and Reasoning. ICCS 2023. Lecture Notes in Computer Science (Scopus Q3)
6. Ignatov D. On the Maximal Independence Polynomial of the Covering Graph of the Hypercube up to n=6 // Formal Concept Analysis. ICFCA 2023. Lecture Notes in Computer Science (Scopus Q3)
7. Kosonogov V., Ntoumanis I., Hajiyeva G., Jääskeläinen I. The role of engagement and arousal in emotion regulation: an EEG study // Experimental Brain Research, 2023 (Scopus Q3, list A of HSE)
8. Malik M., Rehman F., Ignatov D. Ensemble learning with linguistic, summary language and psychological features for location prediction // International Journal of Information Technology (Singapore), 2023 (Scopus Q3, list B of HSE)
9. Pavlov D., Kolotinskii D., Stegailov V. GPU-Based Molecular Dynamics of Turbulent Liquid Flows with OpenMM // Parallel Processing and Applied Mathematics. PPAM 2022. Lecture Notes in Computer Science (Scopus Q3)
10. Shalileh S. Classification Using Marginalized Maximum Likelihood Estimation and Black-Box Variational Inference // Data Analysis and Optimization. Springer Optimization and Its Applications, 2023 (Scopus Q3)
11. Sohrabi, M., Fathollahi-Fard, A.M. & Gromov, V.A. Genetic Engineering Algorithm (GEA): An Efficient Metaheuristic Algorithm for Solving Combinatorial Optimization Problems. Autom Remote Control 85, 252–262 (2024). (Scopus Q3, list B of HSE)
12. Свиязов В. А. Существует ли эффект выходного дня: исследование российского фондового рынка с помощью нечетких систем // Экономический журнал ВШЭ, 2023 (Scopus Q3, list C of HSE)

Статьи Scopus Q4

1. Efimov, P., Boytsov, L., Arslanova, E., Braslavski, P. The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer // Advances in Information Retrieval. Lecture Notes in Computer Science, 2023 (Scopus Q4, list A_conf of HSE)
2. Kalyagin, V., Kostylev, I. Graph Density and Uncertainty of Graphical Model Selection Algorithms // Advances in Optimization and Applications. OPTIMA 2023. Communications in Computer and Information Science, 2023 (Scopus Q4)
3. Pugachev, A., Artemova, E., Bondarenko, A., Braslavski, P. Consumer Health Question Answering Using Off-the-Shelf Components // Advances in Information Retrieval. Lecture Notes in Computer Science, 2023 (Scopus Q4, list A_conf of HSE)

Другие

1. Al-Maeeni, Abdalaziz Rashid, Aziz Temirkhanov, Artem Ryzhikov, and Mikhail Hushchyn. "Performance Modeling of Data Storage Systems using Generative Models." arXiv preprint arXiv:2307.02073
2. Anderlini L. et al. Towards Reliable Neural Generative Modeling of Detectors // Journal of Physics: Conference Series, 2023
3. Belomestny D., Goldman A., Naumov A., Samsonov S. Theoretical guarantees for neural control variates in MCMC // arxiv.org (статья подана на NeurIPS-2023)
4. Berezovskiy V., Morozov N. Weight Averaging Improves Knowledge Distillation under Domain Shift // ICCV 2023 Workshop on Out-of-Distribution Generalization in Computer Vision, 2023
5. Beznosikov A., Alanov A., Kovalev D., Takáč M., Gasnikov A. On Scaled Methods for Saddle Point Problems // arxiv.org, 2023
6. Choi, Y.R., Stegailov, V. (2023). GPU-Accelerated Matrix Exponent for Solving 1D Time-Dependent Schrödinger Equation. In: Voevodin, V., Sobolev, S., Yakobovskiy, M., Shagaliev, R. (eds) Supercomputing. RuSCDays 2023. Lecture Notes in Computer Science, vol 14388. Springer, Cham. https://doi.org/10.1007/978-3-031-49432-1_8
7. Ignatov D. A Note on Counting Basic Choice Functions with Formal Concept Analysis, // FCA4AI, 2023
8. Lukichev D., Kryanina D., Bystrova A., Fenogenova A., Tikhonova M. Parameter-Efficient Tuning of Transformer Models for Anglicism Detection and Substitution in Russian // Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог», 2023
9. Naumov S., Ananyeva M., Lashinin O., Kolesnikov S., Ignatov D. Time-Dependent Next-Basket Recommendations // 45th European Conference on Information Retrieval, ECIR 2023. Lecture Notes in Computer Science
10. Ramazyan T., Kiss O., Grossi M., Kajomovitz E., Vallecorsa S. Generating muonic force carriers events with classical and quantum neural networks // Journal of Physics: Conference Series, 2023
11. Shabalin A., Sadrtdinov I., Shabalin E. Towards Understanding Grokking // ML Reproducibility Challenge 2022, 2023
12. Shchur L., Suhoverhova D., Burovski E. Effect of anisotropy on critical temperature estimation using machine learning // Statistical Physics, 2023
13. Sorokin, K., Zaitsew, A., Levin, A., Magai, G., Beketov, M., Sotskov, V. (2024). Global Cognitive Graph Properties Dynamics of Hippocampal Formation. In: Baixeries, J., Ignatov, D.I., Kuznetsov, S.O., Stupnikov, S. (eds) Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2023. Communications in Computer and Information Science, vol 2086. Springer, Cham
14. Timokhov V., Zinchenko O., Klucharev V. An Investigation of Neural Dynamics of the Prefrontal Cortex in Decision-Making Under Uncertainty // Fifth International Conference Neurotechnologies and Neurointerfaces (CNN), 2023
15. Tsvigun A. et al. Active Learning for Abstractive Text Summarization //arXiv, 2023
16. Зинченко Д. Ассортативность браков по уровню образования: виды, динамика и вклад в неравенство доходов // Высшая школа экономики, 2023
17. Костенецкий П.С., Шамсутдинов А.Б., Чулкевич Р.А., Козырев В.И. Разработка подсистемы анализа эффективности использования вычислительных ресурсов для системы HPC TaskMaster // Параллельные вычислительные технологии – XVII всероссийская конференция с международным участием, ПаВТ'2023, г. Санкт-Петербург, 28–30 марта 2023 г.
18. Чулкевич Р., Козырев В., Костенецкий П., Раимова А. Экспериментальная оценка результатов внедрения технологии NVIDIA GPUDirect на суперкомпьютере НИУ ВШЭ // Суперкомпьютерные дни в России : Труды международной конференции, 2023

Статьи Core B

1. Bondarenko A., Wolska M., Heindorf S., Blübaum L., Ngonga Ngomo A., Stein B., Braslavski P., Hagen M., Potthast M. CausalQA: A Benchmark for Causal Question Answering // International Conference on Computational Linguistics, 2023 (CORE B)
2. Chernyavskiy A., Ilvovsky D. Transformer-based Multi-Party Conversation Generation using Dialogue Discourse Acts Planning // Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue. Association for Computational Linguistics, 2023 (CORE B, list A_conf of HSE)

Публикации пользователей 2022 г.

Статьи Scopus Q1

1. Bahovadinov M., Kurlov D., Matveenko S., Altshuler B., Shlyapnikov G. Many-body localization transition in a frustrated XY chain // Phys. Rev. B, 2022 (Scopus Q1, list A of HSE)
2. Bakker L.R., Bahovadinov M.S., Kurlov D.V., Gritsev V., Fedorov A.K., Krimer D.O. Driven-Dissipative Time Crystalline Phases in a Two-Mode Bosonic System with Kerr Nonlinearity // Physical Review Letters, 2022 (Scopus Q1, list A of HSE)
3. Deshchenya V. I., Kondratyuk N. D., Lankin A. V., Norman G. E. Molecular dynamics study of sucrose aqueous solutions: From solution structure to transport coefficients // Journal of Molecular Liquids, 2022 (Scopus Q1, list A of HSE)
4. Garkul A., Stegailov V. Molecular dynamics analysis of elastic properties and new phase formation during amorphous ices transformations // Scientific Reports, 2022 (Scopus Q1, list A of HSE)
5. Glushak A.A., Tararushkin E.V., Kalinichev A.G. Atomistic Computer Modeling of Hydrocalumite As an Adsorbent for Radioactive Anions from Aqueous Solutions // Russ. J. Phys. Chem, 2022 (Scopus Q1, list A of HSE)
6. Gurina D. L., Budkov Yu. A., Kiselev M. G. Polylactide nanoparticle impregnation with carbamazepine in supercritical media and its subsequent release in liquid solvents: insights from molecular simulation // Journal of Molecular Liquids, 2022 (Scopus Q1, list A of HSE)
7. Gurina D., Odintsova E., Kolesnikov A., Kiselev M., Budkov Yu., Disjoining pressure of room temperature ionic liquid in charged slit carbon nanopore: Molecular dynamics study, Journal of Molecular Liquids, Volume 366, 2022 (Scopus Q1, list A of HSE)
8. Kheifets I., Phillips P. Fully modified least squares cointegrating parameter estimation in multicointegrated systems // Journal of Econometrics, 2022 (Scopus Q1, list A of HSE)
9. Klyuchnikov N. et al., "NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing" // IEEE Access, 2022 (Scopus Q1, list A of HSE)
10. Liang M., Shishkin M., Mikhailova A., Shchur V., Nielsen R. Estimating the timing of multiple admixture events using 3-locus Linkage Disequilibrium // PLoS Genetics, 2022 (Scopus Q1, list A of HSE)
11. Liu D., Perez C. M., Vasenko A., Prezhdo O. Ag–Bi Charge Redistribution Creates Deep Traps in Defective Cs2AgBiBr6: Machine Learning Analysis of Density Functional Theory // The Journal of Physical Chemistry Letters, 2022 (Scopus Q1, list A of HSE)
12. Matveenko S. I., Bahovadinov M. S., Baranov M. A., and Shlyapnikov G. V. Rotons and their damping in elongated dipolar Bose-Einstein condensates // Phys. Rev. A, 2022 (Scopus Q1, list A of HSE)
13. Mirkin B., Shalileh S. Community Detection in Feature-Rich Networks Using Data Recovery Approach // Journal of Classification, 2022 (Scopus Q1, list A of HSE)
14. Nikitiuk B.I., Salikova D.I., Kondratyuk N.D., Pisarev V.V., Pair entropy and universal viscosity scaling for molecular systems via molecular dynamics simulations // Journal of Molecular Liquids, 2022 (Scopus Q1, list A of HSE)
15. Paklina, S., Shakina, E. Which professional skills value more under digital transformation? // Journal of Economic Studies, 2022 (Scopus Q1, list A of HSE)
16. Panicheva P., Mararitsa L., Sorokin S., Koltsova O., Rosso O. Predicting subjective well-being in a high-risk sample of Russian mental health app users // EPJ Data Science, 2022 (Scopus Q1, list A of HSE)
17. Panidi K., Vorobiova A., Feurra M., Klucharev V. Dorsolateral prefrontal cortex plays causal role in probability weighting during risky choice // Scientific Reports, 2022 (Scopus Q1, list A of HSE)
18. Pisarev V. V., Kalinichev A. G. Couette flow of pentane in clay nanopores: Molecular dynamics simulation // Journal of Molecular Liquids, Volume 366, 2022 (Scopus Q1, list A of HSE)
19. Rudnev M. Associations Between Higher-Order Values Vary with Age, Education, and Income // European Journal of Personality, 2022 (Scopus Q1, list A of HSE)
20. Sakhovskiy A., Tutubalina E. Multimodal model with text and drug embeddings for adverse drug reaction classification // Journal of Biomedical Informatics, 2022 (Scopus Q1, list A of HSE)
21. Shchur V, Spirin V, Sirotkin D, Burovski E, De Maio N, Corbett-Detig R. VGsim: Scalable viral genealogy simulator for global pandemic // PLoS Computational Biology, 2022 (Scopus Q1, list A of HSE)
22. Smetanin S. How weather impacts expressed sentiment in Russia: evidence from Odnoklassniki // PeerJ Computer Science, 2022 (Scopus Q1, list A of HSE)
23. Smetanin S., Komarov M. Misclassification Bias in Computational Social Science: A Simulation Approach for Assessing the Impact of Classification Errors on Social Indicators Research // IEEE Access, 2022 (Scopus Q1, list A of HSE)
24. Smetanin S. RuSentiTweet: a sentiment analysis dataset of general domain tweets in Russian //PeerJ Computer Science, 2022 (Scopus Q1, list A of HSE)
25. Tararushkin E., Pisarev V., Kalinichev A. Atomistic simulations of ettringite and its aqueous interfaces Structure and properties revisited with the modified ClayFF force field // Cement and Concrete Research, 2022 (Scopus Q1, list A of HSE)
26. Tararushkin E.V., Pisarev V.V., Kalinichev A.G. Atomistic Modeling of the Structural and Dynamic Properties of Aqueous NaCl and Na2SO4 Solutions in the Interlayer Space of Ettringite // Russian Journal of Physical Chemistry A, 2022 (Scopus Q1, list A of HSE)
27. Tararushkin E.V. Structural, Dynamic, and Vibrational Properties of NaNO2 Aqueous Solution from Classical Molecular Dynamics // Russian Journal of Physical Chemistry A, 2022 (Scopus Q1, list A of HSE)
28. Vicuña L., Mikhailova A., Norambuena T., Shchur V. et al. Genomic insights into the recent population history of Mapuche Native Americans // bioRxiv, 2022 (Scopus Q1, list A of HSE)
29. Zemlyak V., MacInnes W. The Spatial Leaky Competing Accumulator Model // Frontiers of Computer Science, 2022 (Scopus Q1, list C of HSE)

Статьи Core A*

1. Ajjour Y., Braslavski P., Bondarenko A., Stein B. Identifying Argumentative Questions in Web Search Logs // International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022 (CORE A*, list A_conf of HSE)
2. Alanov A., Titov V., Petrov D. HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks // NeurIPS, 2022 (CORE A*, list A of HSE)
3. Chernyavskiy A., Ilvovsky D. Improving Text Generation via Neural Discourse Planning // WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining, 2022 (CORE A*, list A of HSE)
4. Kodryan M., Lobacheva E., Nakhodnov M., Vetrov D. P. Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes // NeurIPS 2022 (CORE A*, list A_conf of HSE)
5. Samsonov S., Lagutin E., Gabrié M., Durmus A., Naumov A., Moulines E. Local-Global MCMC kernels: the best of both worlds // NeuRIPS, 2022 (CORE A*, list A of HSE)
6. Tsvigun A., Shelmanov A., Kuzmin G., Sanochkin L., Larionov D., Gusev G., Avetisyan M., Zhukov L. E. Towards Computationally Feasible Deep Active Learning // Findings of the Association for Computational Linguistics: NAACL, 2022 (CORE A*, list A_conf of HSE)

Статьи Scopus Q2

1. Chertenkov V., Burovski E., Shchur L. Deep Machine Learning Investigation of Phase Transitions // Supercomputing. RuSCDays 2022. Lecture Notes in Computer Science (Scopus Q2)
2. Gaydukov R. K., Fonareva A. V. Double-deck structure in the fluid flow induced by a uniformly rotating disk with small symmetric irregularities on its surface // European Journal of Mechanics - B/Fluids, 2022 (Scopus Q2, list A of HSE)
3. Grossi J. S., Pisarev V. Two-temperature molecular dynamics simulations of crystal growth in a tungsten supercooled melt // Journal of Physics: Condensed Matter, 2022 (Scopus Q2, list A of HSE)
4. Kolesnikov A. L., Mazur D. A., Budkov Y. A. Electrosorption-induced deformation of a porous electrode with non-convex pore geometry in electrolyte solutions: A theoretical study // Europhysics Letter, 2022 (Scopus Q2, list A of HSE)
5. Makarov I.A., Bakhanova M.D., Nikolenko S.I., Gerasimova O.A. Self-supervised recurrent depth estimation with attention mechanisms // PeerJ Computer Science, 2022 (Scopus Q2, list A of HSE)
6. Makarov I, Savchenko A, Korovko A, Sherstyuk L, Severin N, Kiselev D, Mikheev A, Babaev D. 2022. Temporal network embedding framework with causal anonymous walks representations // PeerJ Computer Science, 2022 (Scopus Q2, list A of HSE)
7. Ntoumanis I., Agranovich O., Shestakova A. N., Blagovechtchenski E., Koriakina M., Kadieva Dz., Kopytin G. and Jääskeläinen I. P. Altered Cerebral Processing of Videos in Children with Motor Dysfunction Suggests Broad Embodiment of Perceptual Cognitive Functions // Journal of Personalized Medicine, 2022 (Scopus Q2, list C of HSE)
8. Potapova A., Pile I., Burovski E. Quasi-one-Dimensional Polarized Superfluids: A DMRG Study // Supercomputing. RuSCDays 2022. Lecture Notes in Computer Science (Scopus Q2)
9. Salikov R.F., Yu. Belyy A., Trainov K.P., Velmiskina J.A., Medvedev M.G., Korshunov V.M., Taydakov I.V., Platonov D.N., Tomilov Y.V. Superphotoacidic properties and pH-switched Stokes shifts in electron-deficient 5-hydroxyisoquinolone derivatives // Journal of Photochemistry and Photobiology A: Chemistry, 2022 (Scopus Q2, list A of HSE)
10. Shutikova M. I., V. V. Stegailov. Frenkel pair formation energy for cubic Fe3O4 in DFT + U calculations // Journal of Physics Condensed Matter, 2022 (Scopus Q2, list A of HSE)
11. Smetanin S, Komarov M. The voice of Twitter: observable subjective well-being inferred from tweets in Russian // PeerJ Computer Science, 2022 (Q2) (Scopus Q2, list A of HSE)
12. Smetanin S. Pulse of the Nation: Observable Subjective Well-Being in Russia Inferred from Social Network Odnoklassniki // Mathematics, 2022 (Scopus Q2, list C of HSE)
13. Чуйкова Ж. В., Faber A. Development and functional connectivity of cognitive flexibility: A network-level analysis of resting state fMRI // Brain and Cognition. 2022 (Scopus Q2, list A of HSE)

Статьи Core A

1. Pestova A., Ryabinin M., Mikhailov V., Shamardina T., Smurov I., Artemova E. RuCoLA: Russian Corpus of Linguistic Acceptability // Empirical Methods in Natural Language Processing, 2022. (CORE A, list A_conf of HSE)

Статьи Scopus Q3

1. Bahovadinov M. S., Kurlov D. V., Altshuler B. L., Shlyapnikov G. V. Many-body localization of 1D disordered impenetrable two-component fermions // The European Physical Journal D, 2022 (Scopus Q3, list C of HSE)
2. Fadeeva M.A., Shchur L.N. Simulation of a Four-Component Potts Model on a Hexagonal Lattice by the Wang–Landau Method with Controlled Accuracy // Journal of Experimental and Theoretical Physics, 2022 (Scopus Q3, list B of HSE)
3. Guskova M., Burovski E., Shchur V., Shchur L. Simulation of the Particle Dynamics in the Two-Dimensional Poiseuille Flow with Low Reynolds Number // Lobachevskii Journal of Mathematics, 2022 (Scopus Q3, list C of HSE)
4. Karpov I., Kartashev N. Transformers for Online Social Network Language Modelling // Analysis of Images, Social Networks and Texts. AIST 2021. Lecture Notes in Computer Science, 2022 (Scopus Q3)
5. Login N., Alexander B., Braslavski P. Jokingbird: Funny Headline Generation for News // Analysis of Images, Social Networks and Texts. AIST 2021. Lecture Notes in Computer Science, 2022 (Scopus Q3)
6. Logunov M., Kalinichev A., Pisarev, V. Structure of Hydrocarbon Fluid and Couette Flows in Slit Pores with Pyrophyllite Walls // Polymer Science - Series A, 2022 (Scopus Q3, list C of HSE)
7. Shchur V., Arzymatov K., Khomutov E. Deep learning for inferring distribution of time to the last common ancestor from a diploid genome // Lobachevskii Journal of Mathematics, 2022 (Scopus Q3, list C of HSE)
8. Ziganurova L., Shchur L. Algorithm for Adaptive Mesh Redistribution in Lattice Boltzmann Simulations // Lobachevskii Journal of Mathematics, 2022 (Scopus Q3, list C of HSE)

Статьи Scopus Q4

1. Kolotinskii D., Timofeev A. Performance Analysis of GPU-Based Code for Complex Plasma Simulation // Supercomputing. RuSCDays 2022. Lecture Notes in Computer Science (Scopus Q4)
2. Nikolskiy V., Pavlov D., Stegailov V. State-of-the-Art Molecular Dynamics Packages for GPU Computations: Performance, Scalability and Limitations // Supercomputing. RuSCDays 2022. Lecture Notes in Computer Science (Scopus Q4)
3. Temirkhanov A. M., Ryzhikov A.S., Derkach D., Hushchyn M., Kazeev N., Mokhnenko S. Robust Neural Particle Identification Models // Journal of Physics: Conference Series, 2022 (Scopus Q4)

Другие

1. Aksenova A. et al. RuDSI: graph-based word sense induction dataset for Russian //arXiv, 2022
2. Aliev T. A., Timralieva A. A., Kurakina T. A., Katsuba K. E., Egorycheva Yu. A., Dubovichenko M. V., Kutyrev M. A., Shilovskikh V. V., Orekhov N. D., Kondratyuk N. D., Semenov S. N., Kolpashchikov D. M. and Skorb E. V. Designed assembly and disassembly of DNA in supramolecular structure: From ion regulated nuclear formation and machine learning recognition to running DNA cascade // Nano Select, 2022
3. Artemova E., Zmeev M., Loukachevitch N.V., Rozhkov I., Batura T., Ivanov V., Tutubalina E. RuNNE-2022 Shared Task: Recognizing Nested Named Entities // arXiv, 2022
4. Arutyunov G.A., Avdoshin S. M. Big Transformers for Code Generation // Proceedings of the Institute for System Programming of the RAS, 2022
5. Ayupov S., Chirkova N. Parameter-Efficient Finetuning of Transformers for Source Code // arXiv, 2022
6. Choi Y. R., Nikolskiy V., Stegailov V. Tuning of a Matrix-Matrix Multiplication Algorithm for Several GPUs Connected by Fast Communication Links // Parallel Computational Technologies, 2022
7. Choi Y. R., Stegailov V. Multi-GPU GEMM Algorithm Performance Analysis for Nvidia and AMD GPUs Connected by NVLink and PCIe // 22nd International Conference MMST, 2022
8. Demianenko M., Malanchev K. L., Samorodova E. A., Sysak M., Shiriaev A., Derkach D. and Hushchyn M. Toward an understanding of the properties of neural network approaches for supernovae light curve approximation // ArXiv, 2022
9. Egorov V., Shpilman A. Scalable Multi-Agent Model-Based Reinforcement Learning // arXiv, 2022
10. Faizullina K., Burovski E. XY model on self-avoiding walks : a large-scale Monte Carlo study // Суперкомпьютерные дни в России : Труды международной конференции, 2022
11. Homskiy D. and Arefyev N. DeepMistake at LSCDiscovery: Can a Multilingual Word-in-Context Model Replace Human Annotators? // Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, 2022
12. Ignatov D. On the Cryptomorphism between Davis' Subset Lattices, Atomic Lattices, and Closure Systems under T1 Separation Axiom // arXiv, 2022.
13. Kaledin M., Golubev A. and Belomestny D. Variance Reduction for Policy-Gradient Methods via Empirical Variance Minimization // ArXiv, 2022
14. Kanervisto A., Milani S., Ramanauskas K., Topin N., Lin Z., Li J., Shi J., Ye D., Fu Q., Yang W., Hong W., Huang Zh., Chen H., Zeng G., Lin Yu., Micheli V., Alonso E., Fleuret F., Nikulin A., Belousov Yu., Svidchenko O. and Shpilman A. MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned // ArXiv, 2022
15. Kashleva K., Shein A., Tukhtina E., and Vydrina S. HSE at LSCDiscovery in Spanish: Clustering and Profiling for Lexical Semantic Change Discovery // Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, 2022
16. Kolotinskii D., Timofeev A. OpenDust: A fast GPU-accelerated code for calculation forces, acting on microparticles in a plasma flow // arXiv, 2022
17. Kondratyuk N.D., Ryltsev R., Ankudinov V., Chtchelkatchev N. Can we accurately calculate viscosity in multicomponent metallic melts? // arXiv, 2022
18. Kudisov A. and Arefyev N. BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection // Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, 2022
19. Miftahova A., Pugachev A., Skiba A., Artemova K., Batura T., Braslavski P., and Ivanov V. NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition // Proceedings of the 16th International Workshop on Semantic Evaluation, 2022
20. Orlov E. and Artemova E. Supervised and Unsupervised Evaluation of Synthetic Code-Switching // Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022), 2022
21. Rachinskiy M. and Arefyev N. GlossReader at LSCDiscovery: Train to Select a Proper Gloss in English – Discover Lexical Semantic Change in Spanish // Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, 2022
22. Senderovich A., Bulatova E., Obukhov A. and Rakhuba M. V. Towards Practical Control of Singular Values of Convolutional Layers // ArXiv, 2022
23. Shamardina T., Mikhailov V., Chernianskii D., Fenogenova A., Saidov M., Valeeva A.E., Shavrina T., Smurov I., Tutubalina E., Artemova E. Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian // arXiv, 2022
24. S.M. Avdoshin, G.A. Arutyunov. Code analysis and generation methods using neural networks: an overview // INFORMATION TECHNOLOGIES, 2022
25. Sorokin K., Ayzenberg A. Topological approach to diagonalization algorithms // arXiv, 2022
26. Sorokin K., Ayzenberg A., Анохин К. В., Сотсков В. П., Beketov M., Drynkin R., Зайцев А. В. Topology of cognitive maps // arXiv, 2022
27. Surkov M., Mosin V., Yamshchikov I. Do Data-based Curricula Work? // In Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022
28. Sviyazov, V.A. Fuzzy Volatility Models with Application to the Russian Stock Market // Control Sciences, 2022
29. Troshin S., Chirkova N. Probing Pretrained Models of Source Code // arXiv, 2022
30. Tsvigun A., Sanochkin L., Larionov D., Kuzmin G., Vazhentsev A., Lazichny I., Khromov N., Kireev D., Rubashevskii A., and Shahmatova O. ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts // Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2022
31. Zhemchuzhina E., Filippov N., Yamshchikov I. P. Pragmatic Constraint on Distributional Semantics //arXiv, 2022
32. Zhemchuzhina E., Filippov N., Yamshchikov I. Pragmatic Constraint on Distributional Semantics // arXiv, 2022
33. Авдошин С. М., Арутюнов Г. А. Обзор нейросетевых методов анализа и генерации кода // Информационные технологии, 2022
34. Арутюнов Г.А., Авдошин С.М. Большие трансформеры для генерации кода // Труды Института системного программирования РАН, 2022
35. Громов В. А., Мазайшвили К. В., Заикин П. В., Николаев Е. Н., Бесчастнов Ю. Н., Зворыкина Е. И., Паринов А. А., Незнанов А. А. Различение хаотических и регулярных временных рядов для идентификации состояния артериовенозной фистулы // Вестник кибернетики, 2022
36. Кондратюк Н.Д., Писарев В.В. Теоретические и вычислительные подходы к предсказанию вязкости жидкостей // УФН, 2022
37. Свиязов В. А. Модели волатильности, основанные на нечётких системах, с применением к российскому фондовому рынку // Проблемы управления, 2022
38. Тарарушкин Е.В., Писарев В.В., Калиничев А.Г. Атомистическое моделирование структурных и динамических свойств водных растворов NaCl и Na2SO4 в межслоевом пространстве эттрингита // Журнал физической химии, 2022
39. Чулкевич Р.А., Козырев В.И., Шамсутдинов А.Б., Костенецкий П.С. Сравнение производительности параллельной СХД суперкомпьютера с разными версиями файловой системы Lustre // Суперкомпьютерные дни в России : Труды международной конференции, 2022

Статьи Core B

1. V. P. Sotskov, V. V. Plusnin, K. S. Sorokin and K. V. Anokhin, "Rapid tuning dynamics of CA1 place codes in one-and two- dimensional free exploration tasks," 2022 Fourth International Conference Neurotechnologies and Neurointerfaces (CNN), Kaliningrad, Russian Federation, 2022, pp. 168-171, doi: 10.1109/CNN56452.2022.9912511. (CORE B)

Статьи Scopus Q1

1. Antonov D., Burovski E., Schur L. Mean-field interactions in evolutionary spatial games // Physical Review Research 3, 2021 (Scopus Q1, list A of HSE)
2. Antropov, Stegailov V. Ultrafast diffusion of overpressurized gas filled nanobubbles in UO2 // Journal of Nuclear Materials, 2021 (Scopus Q1, list A of HSE)
3. Bakulin I., Kondratyuk N,, Lankin A., Norman G. Properties of aqueous 1,4-dioxane solution via molecular dynamics // Journal of Chemical Physics, 2021 (Scopus Q1, list A of HSE)
4. Dogonasheva O. et al. Robust universal approach to identify travelling chimeras and synchronized clusters in spiking networks // Chaos, Solitons and Fractals, 2021 (Scopus Q1, list A of HSE)
5. Faizullina K., Pchelintsev I., Burovski E. Critical and geometric properties of magnetic polymers across the globule-coil transition // Physical Review E, 2021 (Scopus Q1, list A of HSE)
6. Gurina, D. L., Budkov, Y. A., & Kiselev, M. G. A molecular insight into poly (methyl methacrylate) impregnation with mefenamic acid in supercritical carbon dioxide: A computational simulation. Journal of Molecular Liquids, 2021 (Scopus Q1, list A of HSE)
7. Kalikin, N. N., Budkov, Y. A., Kolesnikov, A. L., Ivlev, D. V., Krestyaninov, M. A., & Kiselev, M. G. Computation of drug solvation free energy in supercritical CO2: Alternatives to all-atom computer simulations // Fluid Phase Equilibria, 2021 (Scopus Q1, list A of HSE)
8. Kalikin, N. N., Oparin, R. D., Kolesnikov, A. L., Budkov, Y. A., & Kiselev, M. G. A crossover of the solid substances solubility in supercritical fluids: What is it in fact?. Journal of Molecular Liquids, 2021 (Scopus Q1, list A of HSE)
9. Koltsova, O. Y., Mararitsa, L. V., Terpilovskii, M. A., & Sinyavskaya, Y. E. Social signature in an online environment: Stability and cognitive limits // Computers in Human Behavior, 2021 (Scopus Q1, list A of HSE)
10. Koltsov S., Ignatenko V., Terpilowski M., Rosso P. Analysis and tuning of hierarchical topic models based on Renyi entropy approach // PeerJ Computer Science, 2021 (Scopus Q1, list A of HSE)
11. Komissarov A., Safina K., Garushyants S., Fadeev A., Sergeeva M., Ivanova A., Danilenko D., Lioznov D., Shvyrev N., Spirin V., Glyzin D., Shchur V., Bazykin G. Genomic epidemiology of the early stages of SARS-CoV-2 outbreak in Russia // Nature Communications, 2021 (Scopus Q1, list A of HSE)
12. Maevskiy A., Ratnikov F., Zinchenko A., Riabov V. Simulating the time projection chamber responses at the MPD detector using generative adversarial networks // The European Physical Journal C - Particles and Fields, 2021 (Scopus Q1, list A of HSE)
13. Orekhov B. Bashkir Verse from the Turkic Perspective // Studia Metrica et Poetica, 2021 (Scopus Q1, list C of HSE)
14. Orekhov N., Kondratyuk N., Logunov M., Timralieva A., Shilovskikh V., Skorb E.V.. Insights into the Early Stages of Melamine Cyanurate Nucleation from Aqueous Solution // Crystal Growth and Design, 2021 (Scopus Q1, list A of HSE)
15. Russkov A., Chulkevich R., and Shchur L. Algorithm for replica redistribution in an implementation of the population annealing method on a hybrid supercomputer architecture // Computer Physics Communications, 2021 (Scopus Q1, list A of HSE)
16. Smetanin, S., Komarov, M. Deep transfer learning baselines for sentiment analysis in Russian // Information Processing & Management, 2021 (Scopus Q1, list A of HSE)
17. Weigel M., Barash L. Y., Shchur L., Janke W. Understanding population annealing Monte Carlo simulations // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2021. Vol. 103. 053301 (Scopus Q1, list A of HSE)

Статьи Core A*

1. Arefyev N., Kharchev D., Shelmanov A. NB-MLM: Efficient Domain Adaptation of Masked Language Models for Sentiment Analysis // Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021 (CORE A*, list A of HSE)
2. Chirkova N., Troshin S. Empirical Study of Transformers for Source Code // ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Association for Computing Machinery (ACM), 2021 (CORE A*, list A of HSE)
3. Ivanov D., Пшихачев Г. А., Егоров В. С., Shpilman A. Self-Imitation Learning from Demonstrations // NeurIPS'2021 Deep Reinforcement Learning Workshop, 2021 (CORE A*, list A of HSE)
4. Lobacheva E., Kodryan M., Chirkova N., Malinin A., Vetrov D. On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay // Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS 2021) (CORE A*, list A of HSE)
5. Sadrtdinov I. et al. On the Memorization Properties of Contrastive Learning // ICML 2021 OPPO Workshop, 2021 (CORE A*, list A of HSE)
6. Struminsky K., Gadetsky A., Karpushkin D., Vetrov D. Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces // Advances in Neural Information Processing Systems 34, 2021 (CORE A*, list A of HSE)
7. Мещеряков Я. Е., Мельман А. С., Evsyutin O., Morozov V., Kucheriavyy E. On performance of PBFT blockchain consensus algorithm for IoT-applications with constrained devices // IEEE Access, 2021 (CORE A*, list A of HSE)

Статьи Scopus Q2

1. Belavin V., Трофимова Е. А., Ustyuzhanin A. Segmentation of EM showers for neutrino experiments with deep graph neural networks // Journal of Instrumentation, 2021 (Scopus Q2, list C of HSE)
2. Ghambaryan A., Gutkin B., Klucharev V., Koechlin E. Additively Combining Utilities and Beliefs: Research Gaps and Algorithmic Developments // Frontiers in Neuroscience, 2021 (Scopus Q2, list A of HSE)
3. Kondratyuk N., Pisarev V. Predicting shear viscosity of 1,1-diphenylethane at high pressures by molecular dynamics methods // Fluid Phase Equilibria, 2021 (Scopus Q2, list A of HSE)
4. Kostenetskiy P., Kozyrev V., Chulkevich R. Et al. Administration, Monitoring and Analysis of Supercomputers in Russia: a Survey of 10 HPC Centers // Supercomputing Frontiers and Innovations, 2021 (Scopus Q2, list C of HSE)
5. Ntoumanis I., Kopytin G., Blagoveshchensky E., Shestakova A., Bermúdez-Margaretto B., Agranovich O., Jaaskelainen I. Arthrogryposis Multiplex Congenita Enhances the Variability of Neural Responses to Naturalistic Video Scenes // International Journal of Psychophysiology, 2021 (Scopus Q2, list A of HSE)
6. Shapoval A., Savostianova D., Shnirman M. Predictability and Scaling in a BTW Sandpile on a Self-Similar Lattice // Journal of Statistical Physics, 2021 (Scopus Q2, list A of HSE)
7. Shishkina Ya., Lyashevskaya O. Sculpting enhanced dependencies for Belarusian // Analysis of Images, Social Networks and Texts. AIST 2021. Lecture Notes in Computer Science (Scopus Q2)

Статьи Core A

1. Chirkova N. A. On the Embeddings of Variables in Recurrent Neural Networks for Source Code // Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021 (CORE A, list A of HSE)
2. Chirkova N., Troshin S. A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code // Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021 (CORE A, list A of HSE)
3. Saparina I., Osokin A. SPARQLing Database Queries from Intermediate Question Decompositions // Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021 (CORE A, list A of HSE)

Статьи Scopus Q3

1. Arzymatov K., Guschin M., Sapronov A., Belavin V., Gremyachikh L., Karpov M., Ustyuzhanin A. Online detection of failures generated by storage simulator // Journal of Physics: Conference Series. 2021 (Scopus Q3)
2. Belov A., Kurmanova K. The system of predictive analysis of Bank investments using technologies of supercomputer simulation // Journal of Physics: Conference Series, 2021 (Scopus Q3)
3. Boldyrev A., Derkach D., Ratnikov F., Shevelev A. Machine Learning in Calorimeter optimization // Journal of Physics: Conference Series, 2021 (Scopus Q3)
4. Chertenkov V., Shchur L., Universality classes and machine learning // Journal of Physics: Conference Series, 2021 (Scopus Q3)
5. Faizullina K. N., Burovski E. Globule-coil transition in the dynamic HP model // Journal of Physics: Conference Series, 2021 (Scopus Q3)
6. Galitsky B., Ilvovsky D., Goncharova E. Relying on Discourse Analysis to Answer Complex Questions by Neural Machine Reading Comprehension // Proceedings of the International Conference Recent Advances in Natural Language Processing, 2021 (Scopus Q3, list C of HSE)
7. Guskova M., Shchur L. Immersed boundary simulation of drop stability // Journal of Physics: Conference Series, 2021 (Scopus Q3)
8. Guskova M., Shchur L. Simulation of the Drops Oscillations in the Channel // Smart Innovation, Systems and Technologies, 2021 (Scopus Q3)
9. Khalilov M., Timoveev A. Performance analysis of CUDA, OpenACC and OpenMP programming models on TESLA V100 GPU // Journal of Physics: Conference Series, 2021 (Scopus Q3)
10. Khomutov E., Arzymatov K., Shchur V. Deep learning based methods for estimating distribution of coalescence rates from genome-wide data // Journal of Physics: Conference Series, 2021 (Scopus Q3)
11. Klimenkova O., Shchur L., Algorithm for foam generation in plane // Journal of Physics: Conference Series, 2021 (Scopus Q3)
12. Kondratyuk N., Nikolskiy V., Pavlov D., Stegailov V. GPU-accelerated molecular dynamics: State-of-art software performance and porting from Nvidia CUDA to AMD HIP // International Journal of High Performance Computing Applications, 2021 (Scopus Q3, list A of HSE)
13. Kostenetskiy P.S., Chulkevich R.A., Kozyrev V.I. HPC Resources of the Higher School of Economics // Journal of Physics: Conference Series, 2021 (Scopus Q3)
14. Lobashev A. Surface and Volume Reinforced Random Walk // Journal of Physics: Conference Series, 2021 (Scopus Q3)
15. Moskalenko R., Burovski E., Shchur L. Spatial chaos in the Nowak-May game in three dimensions // Journal of Physics: Conference Series, 2021 (Scopus Q3)
16. Sergeev F. et al. Fast simulation of the LHCb electromagnetic calorimeter response using VAEs and GANs // Journal of Physics: Conference Series, 2021 (Scopus Q3)
17. Shvedov, A.S. On Type-2 Fuzzy Sets and Type-2 Fuzzy Systems // J Math Sci, 2021 (Scopus Q3, list C of HSE)
18. Zagvozdina K., Burovski E. Exploring the accuracy of the Lattice Boltzmann method // Journal of Physics: Conference Series, 2021 (Scopus Q3)
19. Zarodnyuk A., Trofimova E., Solovyov A. ,Gradoboev D. Galaxy Clusters Reconstruction // Journal of Physics: Conference Series, 2021 (Scopus Q3)
20. Ziganurova L., Shchur L., Local time evolution in Personal Communication Service model // Journal of Physics: Conference Series, 2021 (Scopus Q3)
21. Каграманян Д. Г., Константинова Е. П., Некрасов А. Н., Страумал Б. Б., Коняшин И. Ю., Shchur L. Computer analysis of the cemented carbides’ microstructure // Письма о материалах, 2021 (Scopus Q3, list C of HSE)

Статьи Scopus Q4

1. Bychkov A., Nikolskiy V. Rust language for supercomputing application // Supercomputing. RuSCDays 2021. Communications in Computer and Information Science (Scopus Q4)
2. Guskova, M., Shchur, L. Wave Spectrum of Flowing Drops // Supercomputing. RuSCDays 2021. Communications in Computer and Information Science (Scopus Q4)

Другие

1. Chernyavskiy A., Ilvovsky D. & Galitsky B. Correcting Texts Generated by Transformers using Discourse Features and Web Mining // Proceedings of the Student Research Workshop Associated with RANLP 2021
2. Dogonasheva O., Gutkin B., Zakharov D. Calculation of travelling chimera speeds for dynamical systems with ring topologies // In Proceedings of the 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA). IEEE Xplore, 2021
3. D. Zakharov, O. Dogonasheva, and  B. Gutkin, Bistability of globally synchronous and chimera states in a ring of phase oscillators coupled by a cosine kernel // In Proceedings of the 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA). IEEE Xplore, 2021
4. Guskova M., Shchur L. Spectrum of chain oscillation in Poiseuille flow // arXiv, 2021
5. Ignatov D. I., Yakovleva A. On Suboptimality of GreConD for Boolean Matrix Factorisation of Contranominal Scales // FCA4AI@IJCAI, 2021
6. Ivanov D., Egorov V., Shpilman A. Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments // AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, 2021
7. Martín-Luengo, B., Altukhov, D., Alexeeva, M., & Leminen, A. Retrospective Confidence Judgements in General-knowledge Questions: Magnetoencephalograhy Correlates // PsyArXiv, 2021
8. Mikhailov V., Serikov O., Artemova E. Morph Call: Probing Morphosyntactic Content of Multilingual Transformers // Proceedings of the Third Workshop on Computational Typology and Multilingual NLP. Online: Association for Computational Linguistics, 2021
9. Rachinskiy M., Arefyev N. GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings // Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), ACL, 2021
10. Rachinskiy M., Arefyev N. Zero-shot Cross-lingual Transfer of a Gloss Language Model for Semantic Change Detection // Komp’yuternaya Lingvistika i Intellektual’nye Tekhnologii: Dialogue conference, 2021
11. Shchur L. Population Annealing Method and Hybrid Supercomputer Architecture // Proceedings of the 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" (GRID'2021)
12. Smetanin, S., & Komarov, M. Share of Toxic Comments among Different Topics: The Case of Russian Social Networks // IEEE 23rd Conference on Business Informatics, 2021
13. Svidchenko O., Shpilman A. Maximum Entropy Model-based Reinforcement Learning // arXiv, 2021
14. Vlasova E. A., Albitskiy P. O., Bogoiavlenskaia A. A., Glebkina I. V., Zevakhina N. A., Ponkratova M. A., Slastnikov S. A., Sidorov N. R., Sherstyuk A. Y. BUILDING THE RUSSIAN ACADEMIC PHRASE BANK: A DEEP LEARNING APPROACH // NRU HSE Series WP BRP "Linguistics", 2021
15. Ziganurova L., Shchur L. Local Virtual Times Analysis in PCS Model // IEEE. Series techrxiv, 2021
16. Заковоротная Е. М., Клышинский Э. С., Волошина Е. Ю., Кудрявцева П. С., Ким Ю. Л. Цифровой архив литературного журнала с дореформенной орфографией «Отечественные Записки» (1839-1884) // Компьютерная лингвистика и интеллектуальные технологии, 2021
17. Кантонистова Е. О., Родионов И. В. Об аналогах классических критериев согласия для хвостов распределений // Доклады Российской академии наук. Математика, информатика, процессы управления, 2021
18. Костенецкий П.С., Шамсутдинов А.Б., Чулкевич Р.А., Козырев В.И. HPC TaskMaster – система мониторинга эффективности задач суперкомпьютера // Russian Supercomputing Days, 2021
19. Михайлов И. А., Костенецкий П. С. Генератор пакетных файлов для планировщика задач SLURM // Russian Supercomputing Days, 2021
20. Пиле Я.Э., Потапова А.С. Ферми-полярон на лестнице с двумя направляющими в модели Хаббарда, 2021
21. Потапова А.С., Пиле Я.Э. Влияние поперечной амплитуды перескока на профиль фазовой диаграммы в квазиодномерной модели Хаббарда, 2021
22. Тарарушкин Е. Исследование свойств водного раствора NaNO2 методом классической молекулярной динамики // Сборник трудов конференции «Физика водных растворов» . 2021. №IV.
23. Шамсутдинов А.Б., Костенецкий П.С. Разработка системы мониторинга эффективности задач на суперкомпьютере cHARISMa // Параллельные вычислительные технологии ПаВТ, 2021

Статьи Scopus Q1

1. Anderlini L. et al. Muon identification for LHCb Run 3 // Journal of Instrumentation, 2020 (Scopus Q1, list C of HSE)
2. Antipov E. A., Pokryshevskaya E. B. Impact of superstitious beliefs on the timing of marriage and childbirth: Evidence from Denmark // Judgment and Decision Making, 2020 (Scopus Q1, list A of HSE)
3. Antropov A., Stegailov V. Nanobubbles diffusion in bcc uranium: Theory and atomistic modelling // Journal of Nuclear Materials, 2020 (Scopus Q1, list A of HSE)
4. Boldyrev A. et. al. ML-assisted versatile approach to Calorimeter R&D // Journal of Instrumentation, 2020 (Scopus Q1, list C of HSE)
5. Fedorov I. D., Orekhov N. D., Stegailov V. V. Nonadiabatic effects and excitonlike states during the insulator-to-metal transition in warm dense hydrogen // Physical Review B, 2020 (Scopus Q1, list A of HSE)
6. Gurina D. L., Budkov Yu. A., Kiselev M. G. Impregnation of Poly (methyl methacrylate) with Carbamazepine in Supercritical Carbon Dioxide: Molecular Dynamics Simulation // J. Phys. Chem. B, 2020 (Scopus Q1, list A of HSE)
7. Kalikin N. N., Kurskaya M. V., Ivlev D. V., Krestyaninov M. A., Oparin R. D., Kolesnikov A. L., Budkov Y. A., Idrissi A., Kiselev M. G. Carbamazepine solubility in supercritical CO2: a comprehensive study // Journal of Molecular Liquids, 2020 (Scopus Q1, list A of HSE)
8. Kirova E.M., Pisarev V.V. The morphological aspect of crystal nucleation in wall-confined supercooled metallic melt // J.Phys.: Condensed Matter, 2020 (Scopus Q1, list A of HSE)
9. Kondratyuk N.D., Lenev D.Yu., Pisarev V.V. Transport coefficients of model lubricants up to 400 MPa from molecular dynamics // J. Chem. Phys, 2020 (Scopus Q1, list A of HSE)
10. Kondratyuk N., Pisarev V., Ewen J. P. Probing the high-pressure viscosity of hydrocarbon mixtures using molecular dynamics simulations // J. Chem. Phys. 2020 (Scopus Q1, list A of HSE)
11. Orekhov N., Ostroumova G., Stegailov V. High temperature pure carbon nanoparticle formation: validation of AIREBO and ReaxFF reactive molecular dynamics // Carbon, 2020 (Scopus Q1, list A of HSE)

Статьи Core A*

1. Gadetsky, A., Struminsky, K., Robinson, C., Quadrianto, N., & Vetrov, D. P. Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution // Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 (CORE A*, list A_conf of HSE)
2. Lobacheva Е. et al. On Power Laws in Deep Ensembles // NeurIPS, 2020 (CORE A*, list A of HSE)
3. Molchanov D., Lyzhov A., Molchanova Yu., Ashukha A., Vetrov D., Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation // Conference on Uncertainty in Artificial Intelligence, 2020 (CORE A*, list A of HSE)
4. Osokin A., Sumin D., Lomakin V. OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features // In proceedings of the European Conference on Computer Vision (ECCV), 2020 (CORE A*, list A of HSE)
5. Shirobokov S., Belavin V., Ustyuzhanin A., Kagan M., Baydin‪. G. Black-Box Optimization with Local Generative Surrogates // Advances in Neural Information Processing Systems, 2020 (CORE A*, list A of HSE)

Статьи Scopus Q3

1. Artemova E., Batura T., Golenkovskaya A., Ivanin V., Ivanov V., Sarkisyan V., Smurov I., Tutubalina E.: So what’s the plan? Mining strategic planning documents // Digital Transformation and Global Society. DTGS 2020. Communications in Computer and Information Science (Scopus Q3)
2. Guskova M., Shchur V., Shchur L. Simulation of drop oscillation using the lattice Boltzmann method, Lobachevskii Journal of Mathematics, 2020 (Scopus Q3, list C of HSE)

Статьи Scopus Q4

1. Guskova M., Shchur L. Drop oscillation modeling // Supercomputing. RuSCDays 2020. Communications in Computer and Information Science (Scopus Q4)
2. Karpov I., Glazkova E. Detecting Automatically Managed Accounts in Online Social Networks: Graph Embedding Approach // Recent Trends in Analysis of Images, Social Networks and Texts. AIST 2020. Communications in Computer and Information Science (Scopus Q4)
3. Sukhoroslov O., Voloshinov V. Running Many-Task Applications Across Multiple Resources with Everest Platform // Supercomputing. RuSCDays 2020. Communications in Computer and Information Science (Scopus Q4)

Другие

1. Alexeeva M., Zinchenko O., Shtyrov Y., Martín-Luengo B. A normative study of Russian-language general knowledge questions // Neurobiology of Speech and Language, 2020
2. Arefyev N. and Zhikov V. BOS at SemEval-2020 Task 1: Word Sense Induction via Lexical Substitution for Lexical Semantic Change Detection // Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
3. Ashukha A., Lyzhov A., Molchanov D. and Vetrov D. Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning // International Conference on Learning Representations, 2020
4. Choi Y. R., Nikolskiy V., Stegailov V. Matrix-Matrix Multiplication Using Multiple GPUs Connected by Nvlink // Proceedings of IEEE: 2020 Global Smart Industry Conference (GloSIC) 2020
5. Ivanin, V., Artemova, E., Batura, T., Ivanov, V., Sarkisyan, V., Tutubalina, E.,Smurov, I.: Rurebus-2020 shared task: Russian relation extraction for business. In: Computational Linguistics and Intellectual Technologies // Proceedings of the International Conference “Dialog”, 2020
6. Kaledin M., Moulines E., Naumov A., Tadic V., Wai H. Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise // Proceedings of Machine Learning Research, 2020
7. Karpychev V., Bolgina T., Malyutina S., Zinchenko V., Ushakov V., Ignatyev G., Dragoy O. No Association Between Structural Properties of Corpus Callosum and Handedness: Evidence from the Constrained Spherical Deconvolution Approach // The Russian Journal of Cognitive Science, 2020
8. Kuznetsov E., Kondratyuk N., Logunov M., Nikolskiy V., Stegailov V. Performance and portability of state-of-art molecular dynamics software on modern GPUs // Parallel Processing and Applied Mathematics, 2020
9. Lobashev A. and Tamm M. Contrastive Learning Approach for Phase Diagram Construction of the Random Walk Model with Volume and Surface Reinforcement // Conference on Complex System, 2020
10. Pavlov F., Poptsova M. Recognition of DNA Secondary Structures as Nucleosome Barriers with Deep Learning Methods // IEEE International Conference on Bioinformatics and Biomedicine, 2020
11. Shchur L.N. Special Purpose Computers for Statistical Physics: Achievements and lessons // Selected Papers 2020 5th International Conference on the History of Computers and Informatics in the Soviet Union, Russian Federation and in the Countries of Mutual Economic Assistance Council, SoRuCom 2020
12. Shpilman A. et. al. Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World // Proceedings of Machine Learning Research, 2020
13. Sokolov A., Sokolova L. COVID-19 dynamic model: Balanced identification of general biological and country specific features // Procedia Computer Sciencethis, 2020
14. Громов В. А., Баранов Ф. С. Прогнозирование хаотических временных рядов на много шагов вперёд // Вестник современных цифровых технологий, 2020

Статьи Scopus Q1

1. Burovski E., Janke W., Guskova M., Shchur L. Acceptance rate is a thermodynamic function in local Monte Carlo algorithms // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 2019 (Scopus Q1, list A of HSE)
2. Klimenkova O., Menshutin A., Shchur L. Variable-step-length algorithms for a random walk: Hitting probability and computation performance // Computer Physics Communications, 2019 (Scopus Q1, list A of HSE)
3. Nolde D. E. Specific refolding pathway of viscumin A chain in membrane-like medium reveals a possible mechanism of toxin entry into cell // Scientific Reports, 2019 (Scopus Q1, list A of HSE)

Статьи Core A*

1. Atanov A., Volokhova A., Ashukha A., Sosnovik I., Vetrov D. Semi-Conditional Normalizing Flows for Semi-Supervised Learning // Workshop on Invertible Neural Nets and Normalizing Flows, International Conference on Machine Learning, 2019 (CORE A*, list A of HSE)

Статьи Scopus Q2

1. Shvedov A. S. Instrumental variables estimation of fuzzy regression models // Journal of Intelligent and Fuzzy Systems, 2019 (Scopus Q2, list C of HSE)

Статьи Scopus Q3

1. Gromov V. A. Chaotic Time Series Prediction: Run for the Horizon // Tools and Methods of Program Analysis. TMPA 2019. Communications in Computer and Information Science (Scopus Q3)
2. Kondratyuk N., Smirnov G., Agarkov A., Osokin A., Nikolskiy V., Semenov A., Stegailov V. Performance and Scalability of Materials Science and Machine Learning Codes on the State-of-Art Hybrid Supercomputer Architecture // Supercomputing. RuSCDays 2019. Communications in Computer and Information Science (Scopus Q3)
3. Shchur L., Barash L., Weigel M., Janke W. Population annealing and large scale simulations in statistical mechanics // Supercomputing. RuSCDays 2018. Communications in Computer and Information Science (Scopus Q3)

1. Костенецкий П.С., Козырев В.И., Чулкевич Р.А., Шамсутдинов А.Б. Свидетельство о государственной регистрации программы для ЭВМ "HPC TaskMaster - система мониторинга эффективности задач суперкомпьютера". 18 ноября 2021. [Сертификат в формате PDF] 
2. Козырев В.И., Чулкевич Р.А., Костенецкий П.С. Свидетельство о государственной регистрации программы для ЭВМ "Система мониторинга и статистики вычислительного кластера". 09 сентября 2021. [Сертификат в формате PDF]