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 [Текст в формате PDF]
2. Чулкевич Р.А., Козырев В.И., Костенецкий П.С., Раимова А.А. Внедрение технологии NVIDIA GPUDirect на суперкомпьютере НИУ ВШЭ // RuSCDays, 2023
3. 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.
4. Kostenetskiy P.S., Chulkevich R.A., Kozyrev V.I., Shamsutdinov A.B. HPC TaskMaster - Task Efficiency Monitoring System for the Supercomputer Center // Communications in Computer and Information Science 2022. DOI: 10.1007/978-3-031-11623-0_2
5. 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) [Текст в формате PDF]
6. 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] 
7. 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 [Текст в формате PDF]
   
8. Костенецкий П.С., Шамсутдинов А.Б., Чулкевич Р.А., Козырев В.И. HPC TaskMaster – система мониторинга эффективности задач суперкомпьютера // Russian Supercomputing Days, 2021 [Текст в формате PDF]  [Презентация в формате PDF]
9. 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] 
10. 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 2023 г. (по состоянию на ноябрь)
Статьи Scopus Q1

1. Abbas Y., Malik M. S. I. Defective products identification framework using online reviews // Electronic Commerce Research, 2023 (Q1)
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 (Q1)
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 (Q1)
4. 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 (Q1)
5. Bahovadinov M.S., Buijsman W., Fedorov A.K., Gritsev V., Kurlov D.V. Many-body localization of Z3 Fock parafermions // Phys. Rev. B, 2022 (Q1)
6. Belonoshko A., Smirnov G. A Comparison of Experimental and Ab Initio Structural Data on Fe under Extreme Conditions // Metals, 2023 (Q1)
7. Berezovskiy V., Gorodilova A., Trofimova​ E., Ustyuzhanin A. Machine learning code snippets semantic classification // PeerJ Computer Science, 2023 (Q1)
8. Budkov Y. A., Brandyshev P. E., Kalikin N.N. Theory of self-coacervation in semi-dilute and concentrated zwitterionic polymer solutions // Soft Matter, 2023 (Q1)
9. Budkov Y., Kalikin N. Macroscopic forces in inhomogeneous polyelectrolyte solutions // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 2023 (Q1)
10. 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 (Q1)
11. 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 (Q1)
12. 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 (Q1)
13. Glushak A., Smirnov G. Partial proton ordering during phase transition in Friedel’s salt // Applied Clay Science, 2023 (Q1)
14. Golyadkin, M., Pozdnyakov, V., Zhukov, L., Makarov, I. SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes // Artificial Intelligence, 2023 (Q1)
15. Gromov V. A., Dang Q. N. Semantic and sentiment trajectories of literary masterpieces // Chaos, Solitons and Fractals, 2023 (Q1)
16. 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 (Q1)
17. 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 (Q1)
18. Kazeev, N., Al-Maeeni, A.R., Romanov, I. Sparse representation for machine learning the properties of defects in 2D materials // npj Comput Mater, 2023 (Q1)
19. Kolotinskii D., Timofeev A. OpenDust: A fast GPU-accelerated code for calculation forces, acting on microparticles in a plasma flow. // Computer Physics Communications, 2023 (Q1)
20. 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 (Q1)
21. Li X., Makarov I., Киселёв Д. А. Predicting Molecule Toxicity via Descriptor-based Graph Self-supervised Learning // IEEE Access, 2023 (Q1)
22. 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 (Q1)
23. 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 (Q1)
24. 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 (Q1)
25. 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 (Q1)
26. 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 (Q1)
27. Potapova A. et al. Dimensional crossover on multileg attractive-U Hubbard ladders // Physical Review A, 2023 (Q1)
28. 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 (Q1)
29. Rehan M., Malik M., Jamjoom M. Fine-Tuning Transformer Models Using Transfer Learning for Multilingual Threatening Text Identification // IEEE Access, 2023 (Q1)
30. 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 (Q1)
31. 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 (Q1)
32. 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 (Q1)
33. 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 (Q1)
34. 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 (Q1)
35. 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 (Q1)

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*)
2. Belomestny D., Goldman A., Naumov A., Samsonov S. Theoretical guarantees for neural control variates in MCMC // NeurIPS-2023 (CORE A*)
3. Okhotin A., Molchanov D., Arkhipkin V., Bartosh G., Alanov A.., Vetrov, D. P. Star-Shaped Denoising Diffusion Probabilistic Models // Advances in Neural Information Processing Systems 37, 2023. (CORE A*)
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*)
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*)
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*)

1. Galitsky B., Ilvovsky D., Goldberg S. Shaped-Charge Learning Architecture for the Human–Machine Teams // Entropy, 2023 (Q2)
2. Ignatov, D.I. On the Number of Maximal Antichains in Boolean Lattices for n up to 7 // Lobachevskii Journal of Mathematics, 2023 (Scopus Q2) (Q2)
3. Latyshev P, Pavlov F, Herbert A, Poptsova M. Unsupervised domain adaptation methods for cross-species transfer of regulatory code signals // Front Big Data, 2023 (Q2)
4. Malik M., Nawaz A. SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction // Knowledge and Information Systems, 2023 (Q2)
5. 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 (Q2)
6. 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 (Q2)
7. 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 (Q2)
8. 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. (Q2)
9. Popov S, Lazarev M, Belavin V, Derkach D, Ustyuzhanin A. Symbolic expression generation via variational auto-encoder // PeerJ Computer Science, 2023 (Q2)
10. Shalileh S. An Effective Partitional Crisp Clustering Method Using Gradient Descent Approach // Mathematics, 2023 (Q2)
11. 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 (Q2)
12. Tararushkin E. V., Pisarev V. V., Kalinichev A. G. Interaction of Nitrite Ions with Hydrated Portlandite Surfaces: Atomistic Computer Simulation Study // Materials, 2023 (Q2)
13. 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 (Q2)
14. Игнатов Д. И. On the Number of Maximal Antichains in Boolean Lattices for n up to 7 // Lobachevskii Journal of Mathematics, 2023 (Q2)
15. 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 (Q2)

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)

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 (Q3)
2. Budkov Y., Kalikin N. Dielectric Mismatch Effects on Polyelectrolyte Solutions in Electrified Nanopores: Insights from Mean-Field Theory // Polymer Science - Series C, 2023 (Q3)
3. Gromov, V., Dang, Q.N. Spot the Bot: Distinguishing Human-Written and Bot-Generated Texts Using Clustering and Information Theory Techniques. // Lecture Notes in Computer Science, 2023. (Q3)
4. Ignatov D. On the Maximal Independence Polynomial of the Covering Graph of the Hypercube up to n=6 // Lecture Notes in Computer Science, 2023 (Q3)
5. Ignatov, D.I. Correction to: A Note on the Number of (Maximal) Antichains in the Lattice of Set Partitions // Lecture Notes in Computer Science, 2023 (Q3)
6. Kosonogov V., Ntoumanis I., Hajiyeva G., Jääskeläinen I. The role of engagement and arousal in emotion regulation: an EEG study // Experimental Brain Research, 2023 (Q3)
7. 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 (Q3)
8. Shalileh S. Classification Using Marginalized Maximum Likelihood Estimation and Black-Box Variational Inference // Springer Optimization and Its Applications, 2023 (Q3)
9. Свиязов В. А. Существует ли эффект выходного дня: исследование российского фондового рынка с помощью нечетких систем // Экономический журнал Высшей школы экономики, 2023 (Q3)

1. Anderlini L. et al. Towards Reliable Neural Generative Modeling of Detectors // J. Phys.: Conf. Ser, 2023 (Q4)
2. 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 (Q4)
3. Pavlov D., Kolotinskii D., Stegailov V. GPU-Based Molecular Dynamics of Turbulent Liquid Flows with OpenMM // Parallel Processing and Applied Mathematics, 2023 (Q4)
4. 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 (Q4)
5. 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 (Q4)

1. Alanov A., Titov V., Nakhodnov M., Vetrov D. StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation // arxiv.org, 2023
2. Berezovskiy V., Morozov N. Weight Averaging Improves Knowledge Distillation under Domain Shift // Out of distribution Generalization in Computer Vision, 2023
3. Beznosikov A., Alanov A., Kovalev D., Takáč M., Gasnikov A. On Scaled Methods for Saddle Point Problems // arxiv.org, 2023
4. 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
5. Deseatnicov I., Hayakawa K., Ito K., Kucheryavyy K., Fukao K. Technological decoupling in between US and China // No. Series No "No", 2023
6. Efimov, P., Boytsov, L., Arslanova, E., Braslavski, P. The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer. // ECIR, 2023
7. Ignatov D. A Note on Counting Basic Choice Functions with Formal Concept Analysis, // FCA4AI, 2023
8. Ikhsanov R., Protsenko I., Smetanin I., Nikonorov N., Uskov A. Local and Global Directionality Patterns of Electron Photoemission from Plasmonic Nanoparticles // The journal of physical chemistry C, 2023
9. Panidi K., Vorobiova A., Feurra M., Klucharev V. Posterior parietal cortex is causally involved in reward value but not reward probability during risky choice // готовится к подаче в журнал Nature Neuroscience
10. Shabalin A., Sadrtdinov I., Shabalin E. Towards Understanding Grokking // ML Reproducibility Challenge 2022, 2023
11. Shchur L., Suhoverhova D., Burovski E. Effect of anisotropy on critical temperature estimation using machine learning // Statistical Physics, 2023
12. 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
13. Tsvigun A. et al. Active Learning for Abstractive Text Summarization //arXiv, 2023
14. Зинченко Д. Ассортативность браков по уровню образования: виды, динамика и вклад в неравенство доходов // Высшая школа экономики, 2023
15. 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.
16. Красильников Д. И., Лашинин О. А., Цыганков М. Р., Ананьева М. Е., Колесников С. С. Utilising Crowdsourcing to Assess the Effectiveness of Item-based Explanations of Merchant Recommendations // WSDM, 2023
17. Наумов С., Ананьева М. Е., Лашинин О. А., Колесников С. С., Игнатов Д. И. Time-Dependent Next-Basket Recommendations // ECIR, 2023
18. Свиязов В. А. Существует ли эффект выходного дня: исследование российского фондового рынка с помощью нечетких систем // Экономический журнал ВШЭ, 2023
19. Сохраби М., Fathollahi-Fard A., Vasilii A. Gromov, Genetic Engineering Algorithm (GEA): An Efficient Metaheuristic Algorithm for Solving Combinatorial Optimization Problems // Working papers by Cornell University, 2023
20. Чулкевич Р., Козырев В., Костенецкий П., Раимова А. Экспериментальная оценка результатов внедрения технологии NVIDIA GPUDirect на суперкомпьютере НИУ ВШЭ // RuSCDays, 2023

Публикации 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 (Q1)
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 (Q1)
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 (Q1)
4. Dogonasheva O., Kasatkin D., Gutkin B., Zakharov D. Multistability and evolution of chimera states in a network of type II Morris–Lecar neurons with asymmetrical nonlocal inhibitory connections // Chaos, 2022 (Q1)
5. Fedorov I.D., Stegailov V.V. Exciton Nature of Plasma Phase Transition in Warm Dense Fluid Hydrogen: ROKS Simulation // ChemPhysChem, 2022 (Q1)
6. Garkul A., Stegailov V. Molecular dynamics analysis of elastic properties and new phase formation during amorphous ices transformations // Scientific Reports, 2022 (Q1)
7. 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 (Q1)
8. 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 (Q1)
9. 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 (Q1)
10. Kheifets I., Phillips P. Fully modified least squares cointegrating parameter estimation in multicointegrated systems // Journal of Econometrics, 2022 (Q1)
11. Klyuchnikov N. et al., "NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing" // IEEE Access, 2022 (Q1)
12. 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 (Q1)
13. 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 (Q1)
14. 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 (Q1)
15. Mirkin B., Shalileh S. Community Detection in Feature-Rich Networks Using Data Recovery Approach // Journal of Classification, 2022 (Q1)
16. 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 (Q1)
17. Paklina, S., Shakina, E. Which professional skills value more under digital transformation? // Journal of Economic Studies, 2022 (Q1)
18. 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 (Q1)
19. Panidi K., Vorobiova A., Feurra M., Klucharev V. Dorsolateral prefrontal cortex plays causal role in probability weighting during risky choice // Scientific Reports, 2022 (Q1)
20. Pisarev V. V., Kalinichev A. G. Couette flow of pentane in clay nanopores: Molecular dynamics simulation // Journal of Molecular Liquids, Volume 366, 2022 (Q1)
21. Sakhovskiy A., Tutubalina E. Multimodal model with text and drug embeddings for adverse drug reaction classification // Journal of Biomedical Informatics, 2022 (Q1)
22. 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 (Q1)
23. Smetanin S. How weather impacts expressed sentiment in Russia: evidence from Odnoklassniki // PeerJ Computer Science, 2022 (Q1)
24. Smetanin S. RuSentiTweet: a sentiment analysis dataset of general domain tweets in Russian //PeerJ Computer Science, 2022 (Q1)
25. 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 (Q1)
26. 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 (Q1)
27. Tararushkin E.V. Structural, Dynamic, and Vibrational Properties of NaNO2 Aqueous Solution from Classical Molecular Dynamics // Russian Journal of Physical Chemistry A, 2022 (Q1)
28. 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 (Q1)
29. Vicuña L., Mikhailova A., Norambuena T., Shchur V. et al. Genomic insights into the recent population history of Mapuche Native Americans // bioRxiv, 2022 (Q1)
30. Zemlyak V., MacInnes W. The Spatial Leaky Competing Accumulator Model // Frontiers of Computer Science, 2022 (Q1)

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*)
2. Alanov A., Titov V., Petrov D. HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks // NeurIPS, 2022 (CORE A*)
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*)
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*)
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*)
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*)
7. Vazhentsev A., Kuzmin G., Shelmanov A., Tsvigun A., Zhukov L. E. Uncertainty Estimation of Transformer Predictions for Misclassification Detection // Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Vol. 1: Long Papers. Association for Computational Linguistics, 2022 (CORE A*)

1. Chertenkov V., Burovski E., Shchur L. Deep Machine Learning Investigation of Phase Transitions // RuSCDays, 2022 (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 (Q2)
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 (Q2)
4. Karpov I. and Kartashev N. SocialBERT - Transformers for Online SocialNetwork Language Modelling // International Joint Conference on the Analysis of Images, Social Networks and Texts, 2022 (Q2)
5. 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 (Q2)
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 (Q2)
7. Makarov I.A., Bakhanova M.D., Nikolenko S.I., Gerasimova O.A. Self-supervised recurrent depth estimation with attention mechanisms // PeerJ Computer Science, 2022 (Q2)
8. 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 (Q2)
9. Potapova A., Pile I., Burovski E. Quasi-one-Dimensional Polarized Superfluids: A DMRG Study // RuSCDays, 2022 (Q2)
10. 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 (Q2)
11. Shalileh S., Mirkin B. Community Partitioning over Feature-Rich Networks Using an Extended K-Means Method // Entropy, 2022 (Q2)
12. Shutikova M. I., V. V. Stegailov. Frenkel pair formation energy for cubic Fe3O4 in DFT + U calculations // Journal of Physics Condensed Matter, 2022 (Q2)
13. Smetanin S, Komarov M. The voice of Twitter: observable subjective well-being inferred from tweets in Russian // PeerJ Computer Science, 2022 (Q2) (Q2)
14. Smetanin S. Pulse of the Nation: Observable Subjective Well-Being in Russia Inferred from Social Network Odnoklassniki // Mathematics, 2022 (Q2)
15. Чуйкова Ж. В., Faber A. Development and functional connectivity of cognitive flexibility: A network-level analysis of resting state fMRI // Brain and Cognition. 2022 (Q2)

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)

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 (Q3)
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 (Q3)
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 (Q3)
4. Ignatov D. I., Kwuida L. On Shapley value interpretability in concept-based learning with formal concept analysis // Annals of Mathematics and Artificial Intelligence, 2022 (Q3)
5. Login N., Alexander B., Braslavski P. Jokingbird: Funny Headline Generation for News // Analysis of Images, Social Networks and Texts, 2022 (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 (Q3)
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 (Q3)
8. Ziganurova L., Shchur L. Algorithm for Adaptive Mesh Redistribution in Lattice Boltzmann Simulations // Lobachevskii Journal of Mathematics, 2022 (Q3)

1. Choi Y.R., Stegailov V. Multi-GPU GEMM Algorithm Performance Analysis for Nvidia and AMD GPUs Connected by NVLink and PCIe // Mathematical Modeling and Supercomputer Technologies, 2022 (Q4)
2. Pankov N., Pozanenko A., Kouprianov V., Belkin S. Pipeline for detection of transient objects in optical surveys // Communications in Computer and Information Science, 2022 (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 (Q4)

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. Egurnov D., Точилкин Д. С., Ignatov D. I. Triclustering in Big Data Setting // Complex Data Analytics with Formal Concept Analysis, 2022
11. Faizullina K., Burovski E. XY model on self-avoiding walks : a large-scale Monte Carlo study Russian Supercomputing Days, 2022
12. 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
13. Ignatov D. On the Cryptomorphism between Davis' Subset Lattices, Atomic Lattices, and Closure Systems under T1 Separation Axiom // arXiv, 2022.
14. Kaledin M., Golubev A. and Belomestny D. Variance Reduction for Policy-Gradient Methods via Empirical Variance Minimization // ArXiv, 2022
15. 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
16. Karpov I., Kartashev N. Transformers for Online Social Network Language Modelling // Analysis of Images, Social Networks and Texts, 2022
17. 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
18. Kolotinskii D., Timofeev A. OpenDust: A fast GPU-accelerated code for calculation forces, acting on microparticles in a plasma flow // arXiv, 2022
19. Kolotinskii D., Timofeev A. Performance Analysis of GPU-Based Code for Complex Plasma Simulation // RuSCDays, 2022
20. Kondratyuk N.D., Ryltsev R., Ankudinov V., Chtchelkatchev N. Can we accurately calculate viscosity in multicomponent metallic melts? // arXiv, 2022
21. 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
22. 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
23. Mistryukova L.A., Plotnikov A., Khizhik A., Knyazeva I., Hushchyn M., Derkach D. Stokes inversion techniques with neural networks: analysis of uncertainty in parameter estimation // arXiv, 2022
24. Nikolskiy V., Pavlov D., Stegailov V. State-of-the-Art Molecular Dynamics Packages for GPU Computations: Performance, Scalability and Limitations // RuSCDays, 2022
25. 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
26. Platonov O., Kuznedelev D., Babenko A. and Prokhorenkova L. Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond // ArXiv, 2022
27. 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
28. Rudnev M. Associations Between Higher-Order Values Vary with Age, Education, and Income // European Journal of Personality, 2022
29. Senderovich A., Bulatova E., Obukhov A. and Rakhuba M. V. Towards Practical Control of Singular Values of Convolutional Layers // ArXiv, 2022
30. 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
31. Shchekotov I., Andreev P., Ivanov O., Alanov A., Vetrov D. FFC-SE: Fast Fourier Convolution for Speech Enhancement // International Speech Communication Association, 2022
32. Sorokin K., Ayzenberg A. Topological approach to diagonalization algorithms // arXiv, 2022
33. Sorokin K., Ayzenberg A., Анохин К. В., Сотсков В. П., Beketov M., Drynkin R., Зайцев А. В. Topology of cognitive maps // arXiv, 2022
34. 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
35. Sviyazov, V.A. Fuzzy Volatility Models with Application to the Russian Stock Market // Control Sciences, 2022
36. Troshin S., Chirkova N. Probing Pretrained Models of Source Code // arXiv, 2022
37. 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
38. Zhemchuzhina E., Filippov N., Yamshchikov I. P. Pragmatic Constraint on Distributional Semantics //arXiv, 2022
39. А. Ю. Нестеренко, А. М. Семенов, Методика оценки безопасности криптографических протоколов // Прикладная дискретная математика, 2022
40. Авдошин С. М., Арутюнов Г. А. Обзор нейросетевых методов анализа и генерации кода // Информационные технологии, 2022
41. Арутюнов Г.А., Авдошин С.М. Большие трансформеры для генерации кода // Труды Института системного программирования РАН, 2022
42. 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
43. Карпов И. А., Крылова Т. В., Тимошенко С. П. Комплексный лингвистический анализ особенностей электронного комментария в социальных сетях // Русский язык в научном освещении, 2022
44. Кондратюк Н.Д., Писарев В.В. Теоретические и вычислительные подходы к предсказанию вязкости жидкостей // УФН, 2022
45. Кравцов П. Ф., Николаев Е. Н., Мазайшвили К. В., Громов В. А., Зворыкина Е. И., Бесчастнов Ю. Н. Кластеризация шумов как способ оценки функции постоянного сосудистого доступа у больных на гемодиализе // Вестник СурГУ - Медицина, 2022
46. Мещанинов В. П., Ватолин Д. С., Молодецких И. А., Волобой А. Г. Сочетание контрастного обучения и обучения с учителем для обнаружения видео со сверхвысоким разрешением // Препринты ИПМ им. М.В. Келдыша, 2022
47. Свиязов В. А. Модели волатильности, основанные на нечётких системах, с применением к российскому фондовому рынку // Проблемы управления, 2022
48. Сергеев А. В., Минченков В. О., Лукашов С. А., Козырева Д. Д., Солдатов А. В. Метод автоматического построения выборок данных в рамках задач интеллектуального контроля ручных операций // Компьютерная оптика, 2022
49. 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
50. 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

1. Antonov D., Burovski E., Schur L. Mean-field interactions in evolutionary spatial games // Physical Review Research 3, 2021 (Q1)
2. Antropov, Stegailov V. Ultrafast diffusion of overpressurized gas filled nanobubbles in UO2 // Journal of Nuclear Materials, 2021 (Q1)
3. Bakulin I., Kondratyuk N,, Lankin A., Norman G. Properties of aqueous 1,4-dioxane solution via molecular dynamics // Journal of Chemical Physics, 2021 (Q1)
4. Dogonasheva O. et al. Robust universal approach to identify travelling chimeras and synchronized clusters in spiking networks // Chaos, Solitons and Fractals, 2021 (Q1)
5. Faizullina K., Pchelintsev I., Burovski E. Critical and geometric properties of magnetic polymers across the globule-coil transition // Physical Review E, 2021 (Q1)
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 (Q1)
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 (Q1)
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 (Q1)
9. Koltsov S., Ignatenko V., Terpilowski M., Rosso P. Analysis and tuning of hierarchical topic models based on Renyi entropy approach // PeerJ Computer Science, 2021 (Q1)
10. 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 (Q1)
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 (Q1)
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 (Q1)
13. Orekhov B. Bashkir Verse from the Turkic Perspective // Studia Metrica et Poetica, 2021 (Q1)
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 (Q1)
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 (Q1)
16. Smetanin, S., Komarov, M. Deep transfer learning baselines for sentiment analysis in Russian // Information Processing & Management, 2021 (Q1)
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 (Q1)

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*)
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*)
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*)
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*)
5. Sadrtdinov I. et al. On the Memorization Properties of Contrastive Learning // ICML 2021 OPPO Workshop, 2021 (CORE A*)
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*)
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*)

1. Belavin V., Трофимова Е. А., Ustyuzhanin A. Segmentation of EM showers for neutrino experiments with deep graph neural networks // Journal of Instrumentation, 2021 (Q2)
2. Ghambaryan A., Gutkin B., Klucharev V., Koechlin E. Additively Combining Utilities and Beliefs: Research Gaps and Algorithmic Developments // Frontiers in Neuroscience, 2021 (Q2)
3. Kondratyuk N., Pisarev V. Predicting shear viscosity of 1,1-diphenylethane at high pressures by molecular dynamics methods // Fluid Phase Equilibria, 2021 (Q2)
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 (Q2)
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 (Q2)
6. Shapoval A., Savostianova D., Shnirman M. Predictability and Scaling in a BTW Sandpile on a Self-Similar Lattice // Journal of Statistical Physics, 2021 (Q2)

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)
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)
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)

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 (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 (Q3)
3. Boldyrev A., Derkach D., Ratnikov F., Shevelev A. Machine Learning in Calorimeter optimization // Journal of Physics: Conference Series, 2021 (Q3)
4. Chertenkov V., Shchur L., Universality classes and machine learning // Journal of Physics: Conference Series, 2021 (Q3)
5. Faizullina K. N., Burovski E. Globule-coil transition in the dynamic HP model // Journal of Physics: Conference Series, 2021 (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 (Q3)
7. Guskova M., Shchur L. Immersed boundary simulation of drop stability // Journal of Physics: Conference Series, 2021 (Q3)
8. Guskova M., Shchur L. Simulation of the Drops Oscillations in the Channel // Smart Innovation, Systems and Technologies, 2021 (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 (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 (Q3)
11. Klimenkova O., Shchur L., Algorithm for foam generation in plane // J. Phys.: Conf. Ser. 1740, 2021 (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 (Q3)
13. Kostenetskiy P.S., Chulkevich R.A., Kozyrev V.I. HPC Resources of the Higher School of Economics // Journal of Physics: Conference Series, 2021 (Q3)
14. Lobashev A. Surface and Volume Reinforced Random Walk // Journal of Physics: Conference Series, 2021 (Q3)
15. Moskalenko R., Burovski E., Shchur L. Spatial chaos in the Nowak-May game in three dimensions // Journal of Physics: Conference Series, 2021 (Q3)
16. Sergeev F. et al. Fast simulation of the LHCb electromagnetic calorimeter response using VAEs and GANs // Journal of Physics: Conference Series, 2021 (Q3)
17. Shishkina Ya., Lyashevskaya O. Sculpting enhanced dependencies for Belarusian // Analysis of Images, Social Networks and Texts (10th International Conference AIST, Revised Selected Papers), 2021 (Q3)
18. Zagvozdina K., Burovski E. Exploring the accuracy of the Lattice Boltzmann method // Journal of Physics: Conference Series, 2021 (Q3)
19. Zarodnyuk A., Trofimova E., Solovyov A. ,Gradoboev D. Galaxy Clusters Reconstruction // Journal of Physics: Conference Series, 2021 (Q3)
20. Ziganurova L., Shchur L., Local time evolution in Personal Communication Service model // J. Phys.: Conf. Ser, 2021 (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 (Q3)

1. Bychkov A., Nikolskiy V. Rust language for supercomputing application // Supercomputing, RuSCDays 2021
2. 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
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. 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
5. Guskova M., Shchur L. Spectrum of chain oscillation in Poiseuille flow // arXiv, 2021
6. Guskova, M., Shchur, L. (2021). Wave Spectrum of Flowing Drops. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2021. Communications in Computer and Information Science, vol 1510. Springer, Cham.
7. Ignatov D. I., Yakovleva A. On Suboptimality of GreConD for Boolean Matrix Factorisation of Contranominal Scales // FCA4AI@IJCAI, 2021
8. 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
9. Martín-Luengo, B., Altukhov, D., Alexeeva, M., & Leminen, A. Retrospective Confidence Judgements in General-knowledge Questions: Magnetoencephalograhy Correlates // PsyArXiv, 2021
10. 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
11. 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
12. 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
13. Shchur L. Effect of anisotropy on critical temperature estimation using machine learning.
14. 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)
15. Smetanin, S., & Komarov, M. Share of Toxic Comments among Different Topics: The Case of Russian Social Networks // IEEE 23rd Conference on Business Informatics, 2021
16. Svidchenko O., Shpilman A. Maximum Entropy Model-based Reinforcement Learning // arXiv, 2021
17. 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
18. Ziganurova L., Shchur L. Local Virtual Times Analysis in PCS Model // IEEE. Series techrxiv, 2021
19. 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
20. Кантонистова Е. О., Родионов И. В. Об аналогах классических критериев согласия для хвостов распределений // Доклады Российской академии наук. Математика, информатика, процессы управления, 2021
21. Костенецкий П.С., Шамсутдинов А.Б., Чулкевич Р.А., Козырев В.И. HPC TaskMaster – система мониторинга эффективности задач суперкомпьютера // Russian Supercomputing Days, 2021
22. Михайлов И. А., Костенецкий П. С. Генератор пакетных файлов для планировщика задач SLURM // Russian Supercomputing Days, 2021
23. Пиле Я.Э., Потапова А.С. Ферми-полярон на лестнице с двумя направляющими в модели Хаббарда, 2021
24. Потапова А.С., Пиле Я.Э. Влияние поперечной амплитуды перескока на профиль фазовой диаграммы в квазиодномерной модели Хаббарда, 2021
25. Тарарушкин Е. Исследование свойств водного раствора NaNO2 методом классической молекулярной динамики // Сборник трудов конференции «Физика водных растворов» . 2021. №IV.
26. Шамсутдинов А.Б., Костенецкий П.С. Разработка системы мониторинга эффективности задач на суперкомпьютере cHARISMa // Параллельные вычислительные технологии ПаВТ, 2021

1. Anderlini L. et al. Muon identification for LHCb Run 3 // Journal of Instrumentation, 2020 (Q1)
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 (Q1)
3. Antropov A., Stegailov V. Nanobubbles diffusion in bcc uranium: Theory and atomistic modelling // Journal of Nuclear Materials, 2020 (Q1)
4. Boldyrev A. et. al. ML-assisted versatile approach to Calorimeter R&D // Journal of Instrumentation, 2020 (Q1)
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 (Q1)
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 (Q1)
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 (Q1)
8. Kirova E.M., Pisarev V.V. The morphological aspect of crystal nucleation in wall-confined supercooled metallic melt // J.Phys.: Condensed Matter, 2020 (Q1)
9. Kondratyuk N., Pisarev V., Ewen J. P. Probing the high-pressure viscosity of hydrocarbon mixtures using molecular dynamics simulations // J. Chem. Phys. 2020 (Q1)
10. 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 (Q1)
11. Orekhov N., Ostroumova G., Stegailov V. High temperature pure carbon nanoparticle formation: validation of AIREBO and ReaxFF reactive molecular dynamics // Carbon, 2020 (Q1)

1. Lobacheva Е. et al. On Power Laws in Deep Ensembles // NeurIPS, 2020 (CORE A*)
2. 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*)
3. 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*)
4. 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*)

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. In Digital Transformation and Global Society // Proceedings of the 5th International Conference (DTGS 2020) (Q3)
2. Guskova M., Shchur L. Drop oscillation modeling, Proceedings Russian Supercomputer Days 2020. (Q3)
3. Guskova M., Shchur V., Shchur L. Simulation of drop oscillation using the lattice Boltzmann method, Lobachevskii Journal of Mathematics, 2020 (Q3)
4. Sukhoroslov O., Voloshinov V. Running Many-Task Applications Across Multiple Resources with Everest Platform // Supercomputing. RuSCDays 2020, Communications in Computer and Information Science (Q3)

1. 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 (Q4)

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. 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
6. 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
7. 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
8. 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
9. 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
10. 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
11. 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
12. Pavlov F., Poptsova M. Recognition of DNA Secondary Structures as Nucleosome Barriers with Deep Learning Methods // IEEE International Conference on Bioinformatics and Biomedicine, 2020
13. 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
14. Shpilman A. et. al. Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World // Proceedings of Machine Learning Research, 2020
15. Sokolov A., Sokolova L. COVID-19 dynamic model: Balanced identification of general biological and country specific features // Procedia Computer Sciencethis, 2020
16. Громов В. А., Баранов Ф. С. Прогнозирование хаотических временных рядов на много шагов вперёд // Вестник современных цифровых технологий, 2020

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 (Q1)
2. Klimenkova O., Menshutin A., Shchur L. Variable-step-length algorithms for a random walk: Hitting probability and computation performance // Computer Physics Communications, 2019 (Q1) 
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 (Q1)

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*)

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

1. Gromov V. A. Chaotic Time Series Prediction: Run for the Horizon // Proc. of Int. Conf. on Software Test, Machine Learning and Complex Process Analysis, Springer, 2019 (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 // Communications in Computer and Information Science. Supercomputing: RuSCDays, 2019 (Q3)
3. Shchur L., Barash L., Weigel M., Janke W. Population annealing and large scale simulations in statistical mechanics // Communications in Computer and Information Science. Supercomputing: RuSCDays, 2018 (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]