Artem Isakov

According to our database, Artem Isakov authored at least 5 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

CayleyPy Growth: Efficient growth computations and hundreds of new conjectures on Cayley graphs (Brief version).

Alexander Chervov, D. Fedoriaka, E. Konstantinova, A. Naumov, Igor Kiselev, A. Sheveleva, Ivan Koltsov, S. Lytkin, A. Smolensky, A. Soibelman, F. Levkovich-Maslyuk, R. Grimov, D. Volovich, Artem Isakov, A. Kostin, M. Litvinov, N. Vilkin-Krom, A. Bidzhiev, A. Krasnyi, M. Evseev, E. Geraseva, Lilya A. Grunwald, S. Galkin, E. Koldunov, S. Diner, A. Chevychelov, E. Kudasheva, Arsenii Sychev, A. Kravchenko, Z. Kogan, A. Natyrova, L. Shishina, Lyudmila Cheldieva, Vladislav Zamkovoy, D. Kovalenko, O. Papulov, S. Kudashev, D. Shiltsov, R. Turtayev, O. Nikitina, D. Mamayeva, S. Nikolenko, Mark Obozov, A. Titarenko, A. Dolgorukova, A. Aparnev, O. Debeaupuis, S. Alami C., H. Isambert

CoRR, September, 2025

Detecting IT Infrastructure Anomalies in Cold Start Scenarios.

Alexandra Vatian, Artem Beresnev, Radmir Naumenko, Artem Isakov, Natalia F. Gusarova, Vladimir Grudinin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2025, 2025

Auto-Encoder Architecture for Dynamic Knowledge Graph Construction in Multi-Agent Systems.

Artem Isakov, Artem Zaglubotskii, Nikolai Konstantinov, Ivan Tomilov, Natalia F. Gusarova, Alexandra Vatian

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2025, 2025

2024

Cooperative-Competitive Decision-Making in Resource Management: A Reinforcement Learning Perspective.

Artem Isakov, Danil Peregorodiev, Pavel Brunko, Ivan Tomilov, Natalia F. Gusarova, Alexandra Vatian

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

Loss Function Role in Processing Sequences with Heavy-Tailed Distributions.

Mikhail Gritskikh, Artem Isakov, Natalia F. Gusarova, Dmitriy Dobrenko, Ivan Tomilov, Aleksandra Vatian

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024