Long-term hail risk assessment with deep neural networks. - Ivan Lukyanenko; Mikhail Mozikov; Yury Maximov; Ilya Makarov (CoRR, 2022)

Long-Term Hail Risk Assessment with Deep Neural Networks. - Mikhail Mozikov; Ivan Lukyanenko; Ilya Makarov; Alexander Bulkin; Yury Maximov (IWANN (1), 2023)

InsideOut: Unifying Emotional LLMs to Foster Empathy. - Mikhail Mozikov; Nikita Severin; Maria Glushanina; Mikhail Baklashkin; Andrey V. Savchenko; Ilya Makarov (ECAI, 2024)

From Data to Decisions: Streamlining Geospatial Operations with Multimodal GlobeFlowGPT. - Danil Kononykhin; Mikhail Mozikov; Kirill Mishtal; Pavel Kuznetsov; Dmitrii Abramov; Nazar Sotiriadi; Yury Maximov; Andrey V. Savchenko; Ilya Makarov (SIGSPATIAL/GIS, 2024)

EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas. - Mikhail Mozikov; Nikita Severin; Valeria Bodishtianu; Maria Glushanina; Ivan Nasonov; Daniil Orekhov; Pekhotin Vladislav; Ivan Makovetskiy; Mikhail Baklashkin; Vasily Lavrentyev; Akim Tsvigun; Denis Turdakov; et al. (NeurIPS, 2024)

Efficient Integration of Reinforcement Learning in Graph Neural Networks-Based Recommender Systems. - Abdurakhmon Sharifbaev; Mikhail Mozikov; Hakimjon Zaynidinov; Ilya Makarov (IEEE Access, 2024)

The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games. - Mikhail Mozikov; Nikita Severin; Valeria Bodishtianu; Maria Glushanina; Mikhail Baklashkin; Andrey V. Savchenko; Ilya Makarov (CoRR, 2024)

ATGen: A Framework for Active Text Generation. - Akim Tsvigun; Daniil Vasilev; Ivan Tsvigun; Ivan Lysenko; Talgat Bektleuov; Aleksandr Medvedev; Uliana Vinogradova; Nikita Severin; Mikhail Mozikov; Andrey V. Savchenko; Rostislav Grigorev; Ramil Kuleev; et al. (CoRR, 2025)