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Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia
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2024, Volume 520, Number 2
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SPECIAL ISSUE: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNOLOGIES
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Introductory Words of AI Journey Team
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3 |
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Digital World, Mathematics, and Education
A. L. Semenov
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4–10 |
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Search for optimal architecture of physically informed neural networks using differential evolution algorithm
F. A. Buzaev, D. S. Efremenko, I. A. Chuprov, Ya. N. Khassan, E. N. Kazakov, J. Gao
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11–18 |
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Solution of the multimode nonlinear Schrödinger equation using physics-informed neural networks
I. A. Chuprov, J. Gao, D. S. Efremenko, F. A. Buzaev, V. Zemlyakov
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19–29 |
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Machine search problem for mathematical expression
A. I. Diveev, E. A. Sofronova
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30–40 |
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Neural network image classifiers informed by factor analyzers
A. M. Dostovalova, A. K. Gorshenin
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41–48 |
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Railway infrastructure detection based on YOLOv8 with npu acceleration
V. A. Fedorov
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49–56 |
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Unraveling the Hessian: a key to smooth convergence in loss function landscapes
N. S. Kiselev, A. V. Grabovoy
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57–70 |
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Empirical approach to sample size estimation for testing of AI algorithms
M. R. Kodenko, T. M. Bobrovskaya, R. V. Reshetnikov, K. M. Arzamasov, A. V. Vladzymyrskyy, O. V. Omelyanskaya, Yu. A. Vasil'ev
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71–84 |
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Generating survival interpretable trajectories and data
A. V. Konstantinov, S. R. Kirpichenko, L. V. Utkin
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85–97 |
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Application of metaheuristic algorithms for optimization of recloser placement in a power supply system with distributed generation
N. N. Sergeev, P. V. Matrenin
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98–106 |
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Prediction of industrial cyber attacks using normalizing flows
V. P. Stepashkina, M. I. Hushchyn
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107–115 |
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Stratified statistical models in hardware reliability analysis
I. A. Vasilev, I. O. Filimonova, M. I. Petrovskii, I. V. Mashechkin
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116–123 |
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Review of multimodal environments for reinforcement learning
Z. A. Volovikova, M. A. Kuznetsova, A. A. Skrynnik, A. I. Panov
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124–130 |
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Multimodal 3D map reconstruction for intelligent robotcs using neural network-based methods
D. A. Yudin
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131–140 |
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Universal representations for well-logging data via ensembling of self-supervised models
V. A. Zholobov, E. D. Romanenkova, S. A. Egorov, A. A. Zaytsev, N. A. Gevorgyan
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141–153 |
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CRAFT: Cultural Russian-oriented dataset adaptation for focused text-to-image generation
V. A. Vasilev, V. S. Arkhipkin, J. D. Agafonova, T. V. Nikulina, È. O. Mironova, A. A. Shichanina, N. A. Gerasimenko, M. Shoytov, D. V. Dimitrov
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154–168 |
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Heterogeneous computational scheduling using adaptive neural hyper-heuristic
A. Allahverdyan, A. Zhadan, I. Kondratov, O. Petrosyan, A. Romanovskii, V. Kharin, Y. Li
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169–181 |
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SwiftDepth++: an efficient and lightweight model for accurate depth estimation
Ya. Dayoub, I. A. Makarov
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182–192 |
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About modifications of the loss function for the causal training of physics-informed neural networks
V. A. Eskin, D. V. Davydov, E. D. Egorova, A. O. Malkhanov, M. A. Akhukov, M. E. Smorkalov
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193–215 |
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SciRus: tiny and powerful multilingual encoder for scientific texts
N. A. Gerasimenko, A. C. Vatolin, A. O. Yanina, K. V. Vorontsov
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216–227 |
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Stack more LLMs: efficient detection of machine-generated texts via perplexity approximation
G. M. Gritsai, I. A. Khabutdinov, A. V. Grabovoy
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228–237 |
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Neural network-based coronary dominance classification of RCA angiograms
I. Kruzhilov, E. Ikryannikov, A. Shadrin, R. Utegenov, G. Zubkova, I. Bessonov
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238–250 |
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Environments for automatic curriculum learning: a short survey
M. I. Nesterova, A. A. Skrynnik, A. I. Panov
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251–259 |
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MDS-ViTNet: Improving Saliency Prediction for Eye-Tracking with Vision Transformer
I. Polezhaev, I. Goncharenko, N. Yurina
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260–266 |
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An empirical scrutinization of four crisp clustering methods with four distance metrics and one straightforward interpretation rule
T. A. Nalbandian, S. A. Shalileh
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267–283 |
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RuSciBench: open benchmark for Russian and English scientific document representations
A. C. Vatolin, N. A. Gerasimenko, A. O. Yanina, K. V. Vorontsov
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284–294 |
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Zero order algorithm for decentralised optimization problems
A. S. Veprikov, E. D. Petrov, G. V. Evseev, A. N. Beznosikov
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295–312 |
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Deep learning-driven approach for handwritten chinese character classification
B. Kriuk, F. Kriuk
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313–324 |
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Hiding backdoors within event sequence data via poisoning attacks
A. Ermilova, E. Kovtun, D. Berestnev, A. A. Zaytsev
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325–336 |
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Deforming implicit neural representation generative adversarial network for unsupervised appearence editing
S. Ignat'ev, V. Egiazarian, R. Rakhimov, E. Burnaev
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337–351 |
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Rethinking graph classification problem in presence of isomorphism
S. Ivanov, S. Sviridov, E. Burnaev
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352–372 |
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