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Избранные публикации пользователей суперкомпьютерного комплекса НИУ ВШЭ

ГодВСЕГОSCOPUSCOREДругие
Всего в
SCOPUS
Q1Q2Q3A*A
202216+10+700006
20216938172193325
202034
148333017
20193
1000101

Публикации о суперкомпьютерном комплексе НИУ ВШЭ
  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 (Q3) [Текст в формате PDF]
  2. 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]
  3. 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
  4. 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]
  5. 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

В соответствии с решением НТС СКК, авторы в своих публикациях должны ссылаться на использование ресурсов СК, для чего нужно в разделе Acknowledgments писать следующие формулировки: «This research was supported in part through computational resources of HPC facilities at HSE University [1]» или «Исследование выполнено с использованием суперкомпьютерного комплекса НИУ ВШЭ [1]».

[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

Публикации 2022 г.
  1. Liang M., Shishkin M., Mikhailova A., Shchur V., Nielsen R. Estimating the timing of multiple admixture events using 3-locus Linkage Disequilibrium // Submitted to PLOS Computational Biology, 2022 (Q1)
  2. Makarov I.A., Bakhanova M.D., Nikolenko S.I., Gerasimova O.A. Self-supervised recurrent depth estimation with attention mechanisms [in Print] // PeerJ Computer Science, 2022 (Scopus Q1, WoS Q1-Q4)
  3. Igor Kheifets & Peter Phillips, 2021 "Fully modified least squares cointegrating parameter estimation in multicointegrated systems." // Journal of Econometrics, 2022 (In Press) (Q1)
  4. Rudnev M. Associations Between Higher-Order Values Vary with Age, Education, and Income // European Journal of Personality, 2022 (In Press) (Q1)
  5. 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 (under review) (Q1)
  6. 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 (Q1)
  7. E. Tararushkin, V. Pisarev, A. Kalinichev. Atomistic simulations of ettringite and its aqueous interfaces Structure and properties revisited with the modified ClayFF force field // Cement and Concrete Research, 2022 (Q1)
  8. Shchur V., Spirin S., Sirotkin D. et al. VGsim: scalable viral genealogy simulator for global pandemic // Submitted to PLOS Genetics, 2022
  9. Lucas Vicuña, Anastasia Mikhailova, Tomás Norambuena et al. Genomic insights into the recent population history of Mapuche Native Americans // Submitted to eLife, 2022
  10. Koltsova, O. Y., Mararitsa, L. V., Terpilovskii, M. A., Pashakhin S.V. & Sinyavskaya, Y. E. Faces of friendship: Emotional closeness prediction based on subjective and objective data from SNS (draft paper)
  11. Кондратюк Н.Д., Писарев В.В. Теоретические и вычислительные подходы к предсказанию вязкости жидкостей // УФН, 2022
  12. 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
  13. Troshin S., Chirkova N. Probing Pretrained Models of Source Code. // arXiv, 2022
Публикации 2021 г.
  1. Komissarov A., Shchur V. et al. Genomic epidemiology of the early stages of SARS-CoV-2 outbreak in Russia // Nature Communications, 2021 (Q1)
  2. Smetanin, S., Komarov, M. Deep transfer learning baselines for sentiment analysis in Russian // Information Processing & Management, 2021 (Q1)
  3. Russkov A., Chulkevich R., Shchur L. Algorithm for replica redistribution in an implementation of the population annealing method on a hybrid supercomputer architecture // Computer Physics Communications, 2021 (Q1)
  4. Bakulin I., Kondratyuk N,, Lankin A., Norman G. Properties of aqueous 1,4-dioxane solution via molecular dynamics // Journal of Chemical Physics, 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. 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 (Q1)
  7. Ntoumanis I., Shestakova A., et al. Congenital motor dysfunction enhances the variability of neural responses to naturalistic videos // Annals of Clinical and Translational Neurology, 2021 (Q1)
  8. 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)
  9. Kirova E., Pisarev V. The morphological aspect of crystal nucleation in wall-confined supercooled metallic melt // J. Phys.: Condensed Matter, 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. Dogonasheva O. et al. Robust universal approach to identify travelling chimeras and synchronized clusters in spiking networks // Chaos Solitons & Fractals, 2021 (Q1)
  12. Antonov D., Burovski E., Shchur L. Mean-field interactions in evolutionary spatial games // Physical Review Research 3, 2021 (Q1)
  13. 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)
  14. 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)
  15. 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)
  16. A. Antropov, V. Stegailov. Ultrafast diffusion of overpressurized gas filled nanobubbles in UO2 // Journal of Nuclear Materials, 2021 (Q1)
  17. N. Orekhov, N. Kondratyuk, M. Logunov, A. Timralieva, V. Shilovskikh, E.V. Skorb. Insights into the Early Stages of Melamine Cyanurate Nucleation from Aqueous Solution // Crystal Growth and Design, 2021 (Q1)
  18. 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*)
  19. Lobacheva E., Kodryan M., Chirkova N., Malinin A., Vetrov D. On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay // NeurIPS, 2021 (CORE A*)
  20. 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*)
  21. 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)
  22. 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)
  23. Chirkova N. 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)
  24. 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 (Q2)
  25. Ghambaryan A., Gutkin B., Klucharev V., Koechlin E. Additively Combining Utilities and Beliefs: Research Gaps and Algorithmic Developments // Frontiers in Neuroscience, 2021 (Q2)
  26. Kostenetskiy P.S., Chulkevich R.A., Kozyrev V.I. HPC Resources of the Higher School of Economics // Journal of Physics: Conference Series, 2021 (Q3)
  27. Ziganurova L., Shchur L. Local time evolution in Personal Communication Service model // Journal of Physics: Conference Series, 2021 (Q3)
  28. Klimenkova O., Shchur L. Algorithm for foam generation in plane // Journal of Physics: Conference Series, 2021 (Q3)
  29. Guskova M., Shchur L. Immersed boundary simulation of drop stability // Journal of Physics: Conference Series, 2021 (Q3)
  30. Guskova M., Shchur L. Simulation of the Drops Oscillations in the Channel // Smart Innovation, Systems and Technologies, 2021 (Q3)
  31. Zagvozdina K., Burovski E. Exploring the accuracy of the Lattice Boltzmann method // Journal of Physics: Conference Series, 2021 (Q3)
  32. Moskalenko R., Burovski Е., Shchur L. Spatial chaos in the Nowak-May game in three dimensions // Journal of Physics: Conference Series, 2021 (Q3)
  33. Khomutov E. et al. Deep learning based methods for estimating distribution of coalescence rates from genome wide data // Journal of Physics: Conference Series, 2021 (Q3) 
  34. 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)
  35. Boldyrev A. et al. Machine Learning in Calorimeter optimization // Journal of Physics: Conference Series, 2021 (Q3)
  36. Faizullina K., Burovski E. Globule-coil transition in the dynamic HP model // Journal of Physics: Conference Series, 2021 (Q3)
  37. Lobashev A. Surface and Volume Reinforced Random Walk // Journal of Physics: Conference Series, 2021 (Q3)
  38. Sergeev F. et al.  Fast simulation of the LHCb electromagnetic calorimeter response using VAEs and GANs // Journal of Physics: Conference Series, 2021 (Q3)
  39. Zarodnyuk A., Trofimova E., Solovyov A., Gradoboev D. Galaxy Clusters Reconstruction // Journal of Physics: Conference Series, 2021 (Q3)
  40. Chertenkov V., Shchur L. Universality classes and machine learning // Journal of Physics: Conference Series, 2021 (Q3)
  41. Belov A., Kurmanova K. The system of predictive analysis of Bank investments using technologies of supercomputer simulation // Journal of Physics: Conference Series, 2021 (Q3)
  42. Shapoval A., Savostianova D., Shnirman M. Predictability and Scaling in a BTW Sandpile on a Self-Similar Lattice // Journal of Statistical Mechanics (Q3)
  43. 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)
  44. Shishkina Ya., Lyashevskaya O. Sculpting enhanced dependencies for Belarusian. In: Analysis of Images, Social Networks and Texts // 10th International Conference AIST 2021, Revised Selected Papers - Lecture Notes in Computer Science (Q3)
  45. Rachinskiy Maxim, Arefyev Nikolay. 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
  46. Rachinskiy Maxim, Arefyev Nikolay. Zero-shot Cross-lingual Transfer of a Gloss Language Model for Semantic Change Detection  // Komp’yuternaya Lingvistika i Intellektual’nye Tekhnologii: Dialogue conference, 2021
  47. Костенецкий П.С., Шамсутдинов А.Б., Чулкевич Р.А., Козырев В.И. HPC TaskMaster – система мониторинга эффективности задач суперкомпьютера // Russian Supercomputing Days, 2021
  48. Пиле Я.Э., Потапова А.С. Ферми-полярон на лестнице с двумя направляющими в модели Хаббарда
  49. Потапова А.С., Пиле Я.Э. Влияние поперечной амплитуды перескока на профиль фазовой диаграммы в квазиодномерной модели Хаббарда
  50. Шамсутдинов А.Б., Костенецкий П.С. Разработка системы мониторинга эффективности задач на суперкомпьютере cHARISMa // Параллельные вычислительные технологии ПаВТ'2021
  51. Gadetsky A et al. Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution // Proceedings of the AAAI Conference on Artificial Intelligence, 2021
  52. O. Dogonasheva, B. Gutkin, and D. Zakharov, Calculation of travelling chimera speeds in dynamical systems with ring topologies. / In Proceedings of the 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA). IEEE Xplore, 2021
  53. 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
  54. Shchur L. POPULATION ANNEALING METHOD AND HYBRIDSUPERCOMPUTER ARCHITECTURE // Proceedings of the 9th International Conference "Distributed Computing and Grid Technologies in Science andEducation", 2021
  55. 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
  56. Тарасов Д.Ю, “Прунинг голов внимания неавторегрессионных Трансформеров”, Материалы 64-ой Всероссийской научной конференции МФТИ, 2021
  57. Login N., Baranov A., Braslavski P. Jokingbird: Funny Headline Generation for News. In Proc. of AIST conference, 2021 (In press)
  58. Alexander Chernyavskiy, Dmitry Ilvovsky & Boris Galitsky. Correcting Texts Generated by Transformers using Discourse Features and Web Mining // Proceedings of the Student Research Workshop Associated with RANLP 2021
  59. Dmitry I. Ignatov, Alexandra Yakovleva: On Suboptimality of GreConD for Boolean Matrix Factorisation of Contranominal Scales // FCA4AI@IJCAI, 2021
  60. Smetanin, S., & Komarov, M. Share of Toxic Comments among Different Topics: The Case of Russian Social Networks // 2021 IEEE 23rd Conference on Business Informatics (CBI)
  61. Sadrtdinov I. et al. On the Memorization Properties of Contrastive Learning // ICML 2021 OPPO Workshop
  62. Martín-Luengo, B., Altukhov, D., Alexeeva, M., & Leminen, A. Retrospective Confidence Judgements in General-knowledge Questions: Magnetoencephalograhy Correlates // PsyArXiv, 2021
  63. Martín-Luengo, B., Altuhov, D., Leminen, A., Alekseeva, M., & Shtyrov, Y. Theta-band oscillatory activity reflects retrospective confidence judgments (RCJ): Magnetoencephalography (MEG) evidence // Presented at 62nd Psychonomics Society Annual Meeting, 2021
  64. Surkov M., Mosin V.,  Yamshchikov I. Do Data-based Curricula Work? // arXiv, 2021
  65. Guskova M., Shchur L. Spectrum of chain oscillation in Poiseuille flow // arXiv, 2021
  66. Bahovadinov M., Kurlov D., Matveenko S., Altshuler B., Shlyapnikov G. Many-body localization transition in a frustrated XY chain // arXiv, 2021
  67. Svidchenko O., Shpilman A. Maximum Entropy Model-based Reinforcement Learning // arXiv, 2021
  68. Struminsky K., Gadetsky A., Karpushkin D., Vetrov D. Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces // NeurIPS, 2021
  69. Efimov P., Boytsov L., Braslavski P. Cross-Lingual Alignment of mBERT Embeddings for Zero-shot Question Answering (submitted)
Публикации 2020 г.
  1. Kondratyuk N., Lenev D., Pisarev V. Transport coefficients of model lubricants up to 400 MPa from molecular dynamics // J. Chem. Phys., 2020 (Q1)
  2. Kondratyuk N., Pisarev V., Ewen J. P. Probing the high-pressure viscosity of hydrocarbon mixtures using molecular dynamics simulations // J. Chem. Phys. 2020 (Q1)
  3. Gurina D., Budkov, Y., Kiselev M. Impregnation of Poly (methyl methacrylate) with Carbamazepine in Supercritical Carbon Dioxide: Molecular Dynamics Simulation // The Journal of Physical Chemistry B, 2020 (Q1)
  4. Kalikin N., Kurskaya M., Ivlev D., Krestyaninov M., Oparin R., Kolesnikov A., Budkov Y., Idrissi A., Kiselev M. Carbamazepine solubility in supercritical CO2: a comprehensive study // Journal of Molecular Liquids, 2020 (Q1)
  5. Orekhov N., Ostroumova G., Stegailov V. High temperature pure carbon nanoparticle formation: Validation of AIREBO and ReaxFF reactive molecular dynamics // Carbon. V.170, 2020 (Q1)
  6. Anderlini L. et al. Muon identification for LHCb Run 3 // Journal of Instrumentation, 2020 (Q1)
  7. 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)
  8. A. Boldyrev et. al. ML-assisted versatile approach to Calorimeter R&D // Journal of Instrumentation, 2020 (Q1)
  9. Shirobokov S., Belavin V., Ustyuzhanin A., Kagan M., Baydin‪. G. Black-Box Optimization with Local Generative Surrogates // Advances in Neural Information Processing Systems 33, 2020 (A*)
  10. Lobacheva Е. et al. On Power Laws in Deep Ensembles // NeurIPS, 2020 (A*)
  11. Molchanov D., Lyzhov A., Molchanova Y., Ashukha A., Vetrov D. Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation // Conference on Uncertainty in Artificial Intelligence 2020 (A*)
  12. Guskova M., Shchur V., Shchur L. Simulation of drop oscillation using the lattice Boltzmann method // Lobachevskii Journal of Mathematics, 2020 (Q2)
  13. Karpov I., Glazkova E. Detecting Automatically Managed Accounts in Online Social Networks: Graph Embedding Approach // Best paper на конференции AIST 2020 (Q2)
  14. Osokin A., Sumin D., Lomakin V. OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features // Proceedings of the European Conference on Computer Vision (ECCV), 2020 (Q2)
  15. Guskova M., Shchur L. Drop oscillation modeling // Proceedings Russian Supercomputer Days 2020 (Q3)
  16. Sukhoroslov O., Voloshinov V. Running Many-Task Applications Across Multiple Resources with Everest Platform // RusSCDays-2020 (Q3)
  17. 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), St. Petersburg, Russia, 2020 (Q3)
  18. 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
  19. Lobashev A., Tamm M. Contrastive Learning Approach for Phase Diagram Construction of the Random Walk Model with Volume and Surface Reinforcement // Conference on Complex Systems 2020
  20. 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
  21. Sokolov A.V., Sokolova L.A. COVID-19 dynamic model: balanced identification of general biological and country specific features // Procedia Computer Science, 2020
  22. 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
  23. Sokolov A., Sokolova L. Balanced Identification of the COVID-19 Dynamic Model: General Biological and Country Specific Social Features // Procedia Computer Science, 2020
  24. Ashukha A., Lyzhov A., Molchanov D., Vetrov D. Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning // International Conference on Learning Representations, 2020
  25. Chirkova N. Et al. Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones? // arXiv:2005.07292, 2020
  26. Gromov V., Baranov P., Tsybakin A. Prediction after a Horizon of Predictability: Non-Predictable Points and Partial Multi-Step Prediction for Chaotic Time Series, 2020
  27. Громов В., Баранов Ф. Прогнозирование хаотических временных рядов на много шагов вперёд // Вестник современных цифровых технологий, 2020
  28. Smirnov S., Voloshinov V., Sukhoroslov O. Integration on the Everest platform of ParaSCIP solvers running on different clusters to solve a common optimization problem” // Preprint ResearchGate, 2020
  29. Sokolov A., Sokolova L. COVID-19 dynamic model: Balanced identification of general biological and country specific social features // ArXiv, 2020
  30. Rudnev M. Political Participation and Basic Values in Europe: Replication and Extension of Vecchione et al. (2015) // OSF "SocArXiv", 2020
  31. Chirkova N. Neural code completion with anonymized variable names // arXiv 2010.12693, 2020
  32. Chirkova N., Troshin S. Empirical Study of Transformers for Source Code // arXiv:2010.07987, 2020
  33. Nikolay Arefyev and Vasily Zhikov. 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
  34. Shpilman A. et. al. Flatland Competition 2020: MAPF and MARL for EfficientTrain Coordination on a Grid World // Proceedings of Machine Learning Research, 2020 
Публикации 2019 г.
  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*)
  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, 2019 (Q4)
  3. Gromov V. Chaotic Time Series Prediction: Run for the Horizon // Proc. of  Int. Conf. on Software Test // Machine Learning and Complex Process Analysis (TMPA-2019)

 

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