A Grid-Structured Model of Tubular Reactors. - Katsiaryna Haitsiukevich; Samuli Bergman; Cesar de Araujo Filho; Francesco Corona; Alexander Ilin (INDIN, 2021)

Learning Trajectories of Hamiltonian Systems with Neural Networks. - Katsiaryna Haitsiukevich; Alexander Ilin (ICANN (1), 2022)

Improved Training of Physics-Informed Neural Networks with Model Ensembles. - Katsiaryna Haitsiukevich; Alexander Ilin (IJCNN, 2023)

In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery. - Matteo Merler; Katsiaryna Haitsiukevich; Nicola Dainese; Pekka Marttinen (ACL (Student Research Workshop), 2024)

Diffusion Models as Probabilistic Neural Operators for Recovering Unobserved States of Dynamical Systems. - Katsiaryna Haitsiukevich; Onur Poyraz; Pekka Marttinen; Alexander Ilin (MLSP, 2024)

In-Context Symbolic Regression: Leveraging Language Models for Function Discovery. - Matteo Merler; Nicola Dainese; Katsiaryna Haitsiukevich (CoRR, 2024)

GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling. - Arash Jamshidi; Lauri Seppäläinen; Katsiaryna Haitsiukevich; Hoang Phuc Hau Luu; Anton Björklund; Kai Puolamäki (CoRR, 2025)