Romanova K., Senichev S., Veltman L., Nasonov I., Kuznetsov A., Makarov I. SODAOpt: Socio-Demographic and Textual Adaptive Fusion for Optimizing Developer Task Assignment. Proceedings of the 33rd ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE Companion '25). 2025. pp. 1250-1251.. doi: 10.1145/3696630.3731437
Kuznetcov A.V. OmniFusion Technical Report. arXiv.org [база препринтов]. 2024.. doi: https://doi.org/10.48550/arXiv.2404.06212
Kuznetsov A.V. The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models. EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024. 2024. pp. 868–874.
Razzhigaev A., Shakhmatov A., Maltseva A., Arkhipkin V., Pavlov I., Ryabov I., Kuts A., Panchenko A., Kuznetsov A., Dimitrov D. Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP). 2023. pp. 286–295.. doi: 10.18653/v1/2023.emnlp-demo.25
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. Компьютерная оптика [Computer Optics]. 2023. Vol. 47. No. 1. pp. 185-195.. doi: 10.18287/2412-6179-CO-1220
Агафонова Ю.Д., Гайдель А., Зельтер П., Капишников А., Кузнецов А.В., Суровцев Е., Никоноров А. Совместный анализ рентгенологических протоколов и компьютерных томограмм для автоматического уточнения патологических состояний головного мозга [Joint analysis of radiological reports and CT images for automatic validation of pathological brain conditions]. Компьютерная оптика [Computer Optics]. 2023. Т. 47. № 1. С. 152-159.. doi: 10.18287/2412-6179-CO-1201
Razzhigaev A., Voronov A., Kaznacheev A., Kuznetsov A., Dimitrov D., Panchenko A. Pixel-Level BPE for Auto-Regressive Image Generation. International Conference on Computational Linguistics, COLING. 2022. pp. 26–30.
Groshev A., Maltseva A., Chesakov D., Kuznetsov A., Dimitrov D. GHOST—A New Face Swap Approach for Image and Video Domains. IEEE Access. 2022. Vol. 10. pp. 83452-83462.. doi: 10.1109/ACCESS.2022.3196668
Гаишников М.В., Кузнецов А.В. Обнаружение искусственных фрагментов, встроенных в изображения дистанционного зондирования состязательными нейросетями [Detection of artificial fragments embedded in remote sensing images by adversarial neural networks]. Компьютерная оптика [Computer Optics]. 2022. Т. 46. № 4. С. 643-649.. doi: 10.18287/2412-6179-CO-1064
Gashnikov M.V., Kuznetsov A.V. Detection of Fake Remote-Sensing Data. Optical Memory and Neural Networks (Information Optics). 2022. Vol. 31. No. 1. pp. 16-21.. doi: 10.3103/S1060992X22010052
Кузнецов А.В. Computer Vision Approaches in High-Fidelity Multimedia Content Synthesis. Doklady Mathematics. 2022. Vol. 106. No. Suppl 1. pp. S99-S100.. doi: https://doi.org/10.1134/S106456242206014X
Kuznetsov A., Gashnikov M. Investigation of the Influence of the Retouched Region Size on the RS-Images Quality. 7th IEEE International Conference on Information Technology and Nanotechnology, ITNT 2021. 2021. pp. 1-4.. doi: 10.1109/ITNT52450.2021.9649158