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
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.
Kuznetcov A.V. OmniFusion Technical Report. arXiv.org [база препринтов]. 2024.. doi: https://doi.org/10.48550/arXiv.2404.06212
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
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
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
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
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
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
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.
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