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Differentiable Rendering with Reparameterized Volume Sampling
P. 4852–4860.
Aleksei Samarin, Nazarenko A., Aleksei Toropov et al., , in: Proceedings of the 36th Conference of Open Innovations Association FRUCT, Helsinki, Finland, 30 October - 1 November 2024Vol. 36.: FRUCT Oy, 2024. P. 711–720.
Image enhancement is crucial in digital image processing to improve visual quality across various applications. Recent advancements in deep learning and computer vision have significantly advanced automatic color correction. While heavyweight solutions excel in quality, they demand substantial computational resources, whereas emerging lightweight models promise efficient operation on mobile devices. This study introduces a lightweight ...
Added: September 19, 2026
Minets M., Krasnozhenov G., Trofimova E. et al., PeerJ Computer Science 2026 Vol. 12 Article e4063
This article presents CAD2TechSpec, a novel framework for automating design processes within computer-aided design (CAD) systems by leveraging multimodal large language models (LLMs). The framework enables the analysis and generation of detailed design specifications, including the automated creation of machining process plans. Our system architecture combines 3D model rendering, dimensionality reduction techniques, and the capabilities ...
Added: August 12, 2026
Nikishina I., Tikhonova M., Chekalina V. et al., , in: Proceedings of the Sixth Workshop on Teaching NLP (TeachNLP 2024).: Association for Computational Linguistics, 2024. P. 7–22.
This paper presents a course on neural networks based on the Transformer architecture targeted at diverse groups of people from academia and industry with experience in Python, Machine Learning, and Deep Learning but little or no experience with Transformers. The course covers a comprehensive overview of the Transformers NLP applications and their use for other ...
Added: June 14, 2026
Chertopolokhov V., Mukhamedov A., Bugriy G. et al., IEEE Access 2026 Vol. 14 P. 14369–14392
This study presents on-the-fly identification and multi-step prediction of nonlinear systems with delayed inputs using a dynamic neural network combined with a smooth projection onto ellipsoids. The projection enforces parameter constraints that guarantee stability, while a Lyapunov–Krasovskii analysis yields computable ultimate error bounds. Riccati-type matrix inequalities are derived, providing an efficient vectorization–projection–devectorization implementation suitable for ...
Added: May 22, 2026
Barchukov V., Lecture Notes in Networks and Systems 2021 Vol. 160 P. 713–718
The article covers the analysis of the problems of budget managing processes in municipalities. Noting the complexity and importance of this process, the author notes that one of the directions for its improvement is the use of intelligent information systems. Currently, these information systems are successfully implemented in various areas of business and management, and ...
Added: January 21, 2026
Bodrova M., Lyavdansky A., Археология евразийских степей 2025 № 2 С. 145–153
This article presents the experience of photogrammetric modeling of nine small archaeological objects from the collection of the Pushkin State Museum of Fine Arts. The subjects of the study are tesserae with shallow stamps and signs of wear, which required the use of macro photography and specialized image processing algorithms to achieve high detail. The ...
Added: April 30, 2025
Bazhukov M., Voloshina E., Sergey Pletnev et al., , in: Proceedings of the 28th Conference on Computational Natural Language Learning.: Association for Computational Linguistics, 2024. P. 280–290.
Added: March 11, 2025
Chaichuk M., Tutubalina E., Transactions of the Association for Computational Linguistics 2024
This paper introduces models developed for the ImageCLEFmed 2024 MEDVQA-GI task, aimed at leveraging text-to-image generative models to create a comprehensive dataset of artificial colonoscopy images from textual prompts. The task’s complexity arises from the novel and relatively uncharted nature of the provided training dataset, its limited size, and the specificity required in the generated ...
Added: December 13, 2024
Stefan Nikolić, Ignatov D. I., Khvorykh G. et al., PeerJ Computer Science 2024 Vol. 10 Article e2454
Despite the identification of several dozen genetic loci associated with ischemic stroke (IS), the genetic bases of this disease remain largely unexplored. In this research we present the results of genome-wide association studies (GWAS) based on classical statistical testing and machine learning algorithms (logistic regression, gradient boosting on decision trees, and tabular deep learning model ...
Added: December 11, 2024
Asadulaev A., Korotin A., Vage Egiazarian et al., , in: Proceedings of the 12th International Conference on Learning Representations (ICLR 2024).: ICLR, 2024.
Added: March 5, 2024
Mininni M., Orlando G., Taglialatela G., Argumenta Oeconomica 2022 No. 2(49) P. 23–57
This article extends the previous research on the notion of a standardized call function and how to
obtain an approximate model of the Black-Scholes formula via the hyperbolic tangent. Although the
Black-Scholes approach is outdated and suffers from many limitations, it is still widely used to derive
the implied volatility of options. This is particularly important for traders ...
Added: March 2, 2024
Blumenau M., Vorobev D., Fridman M., [б.и.], 2022.
We propose a method for recognizing several types of magneto-plasma structures at the Sun, employing deep machine learning. Various neural networks (namely, fully connected, recurrent and convolutional networks) have increasingly become popular to many fields of physics involving data analysis and pattern recognition [Krizhevsky et al., 2012, NeurIPS]. Meanwhile, in solar physics, traditional algorithms relying ...
Added: February 15, 2024
Vorobev D., Blumenau M., Fridman M. et al., EGU General Assembly, 2022.
We propose a new method for automatic detection of solar magnetic tornadoes based on computer vision methods. Magnetic tornadoes are magneto-plasma structures with a swirling magnetic field in the solar corona, and there is also evidence for the rotation of plasma in them. A theoretical description and numerical modeling of these objects are very difficult ...
Added: February 15, 2024
Vorobev D., Blumenau M., Fridman M. et al., [б.и.], 2022.
We show a possibility of automated detection of solar magnetic tornadoes, using the classic computer vision and deep learning methods. We define magnetic tornadoes, independently of their origin, as magneto-plasma objects in the solar corona in which a magnetic field is twisted. Typically, a whole magnetic tornado rotates resembling tornadoes in the terrestrial atmosphere. Meanwhile, ...
Added: February 15, 2024
Khusyainov T., В кн.: Современная реальность в социально-психологическом контексте – 2023.: НГПУ, 2023. С. 139–142.
This article touches upon the problem of the influence of neural networks on the communicative practices of a modern person. With the development of technology, at the moment the number of tools available to any user of the Global Network is quite large and is constantly growing. Affecting all new areas of life, the latest developments ...
Added: October 8, 2023
Chertenkov V., Burovskiy E., Shchur L., Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 2023 Vol. 108 No. 3 Article L032102
We analyze the problem of supervised learning of ferromagnetic phas transitions from the statistical physics perspective. We consider two systems in two universality classes, the two-dimensional Ising model and two-dimensional Baxter-Wu model, and perform careful finite-size analysis of the results of the supervised learning of the phases of each model. We find that the variance ...
Added: September 19, 2023
Леванова Е. С., Svoyski Y., Зиганшина А. А. et al., Проблемы археологии, этнографии, антропологии Сибири и сопредельных территорий 2022 Т. 28 С. 606–612
The Pegtymel petroglyphs are Asian northernmost rock art site located beyond the Arctic Circle on the right bank of the Pegtymel River in Northwestern Chukotka 40–50 km from the coast of the East Siberian Sea. The site was discovered in 1965 by geologist N. M. Samorukov. The scholarly discovery and fi rst publication of the ...
Added: June 25, 2023
M. S. I. Malik, Hussain A., Artificial Intelligence Review 2020 Vol. 53 No. 1 P. 407–427
Helpfulness of online reviews is a multi-faceted concept. The reviews are usually ranked on
the basis of perceived helpful votes and aid in making purchase decisions for online customers.
This study extends the prior work done for review helpfulness by considering not
only the influential characteristics of reviews but also incorporates influential indicators of
reviewer and product category. Influential ...
Added: November 1, 2022
Абдуллина У. В., Iarkova V., В кн.: Апрельские тезисы: материалы междисциплинарной научно-исследовательской конференции (г. Пермь, 2–3 апреля 2021 г.).: Пермь: Пермский государственный национальный исследовательский университет, 2021. С. 375–382.
Dymkovo toys, also known as Vyatka toys or Kirov toys, are considered an integral part of the cultural heritage of Russia. Now, despite the historical and cultural significance of these toys, people pay little attention to the problem of preserving their appearance and the canons of clay toys` making process. This article is dedicated to ...
Added: April 4, 2022
Дараган М. Н., Полин С. В., Svoyski Y., Материалы по археологии и истории античного и средневекового Причерноморья 2021 № 13 С. 13–98
The emergence of the earliest burial mounds in the Eneolithic of the North Pontic steppes (3900/3800—
3500/3400 BCE) was accompanied by the construction of the earliest megalithic structures — cromlechs, the
circular structures of which consisted of vertically installed stone slabs combined with stone chamber burials, cist
burials, and pit burials covered with stones. Similar structures continued to ...
Added: February 15, 2022
Svoyski Y., Романенко Е. В., Хлопачев Г. А. et al., Camera praehistorica 2020 № 2 (5) С. 8–24
One of the plots of the portable art forms of Eastern Europe is abstract, geometric, symbolic images that cannot be deciphered directly. Most of the currently known such geometric images from the archaeological sites of the Upper Paleolithic and Mesolithic of Eastern Europe were applied to finished bone products — tools, weapons, household and non-utilitarian ...
Added: March 10, 2021