Loss Function Role in Processing Sequences with Heavy-Tailed Distributions. - Mikhail Gritskikh; Artem Isakov; Natalia F. Gusarova; Dmitriy Dobrenko; Ivan Tomilov; Aleksandra Vatian (IDEAL (1), 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 (IDEAL (1), 2024)

Enhancing Medical Image Analysis with Multi-Task Learning Using Visual Transformers. - Aleksandra Vatian; Ivan Tomilov; Mikhail Gritskikh; Natalia V. Dobrenko; Anton Kharytonov; Yuliya Valitova; Natalia F. Gusarova (ICCS (Workshops 3), 2025)

Bayesianization of ML Models in Forecasting Small Data Sequences with Missing Values. - Aleksandra Vatian; Ivan Tomilov; Keram Goguev; Oksana Romakina; Anna Arsenyeva; Dmitriy Dobrenko; Natalia F. Gusarova (ICCS (Workshops 3), 2025)

Game-Theoretic Gradient Control for Robust Neural Network Training. - Maria Zaitseva; Ivan Tomilov; Natalia F. Gusarova (CoRR, 2025)