Katsiaryna Haitsiukevich

According to our database, Katsiaryna Haitsiukevich authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PhiPlot: A Web-Based Interactive EDA Environment for Atmospherically Relevant Molecules.

Matias Loukojärvi, Ananth Mahadevan, Katsiaryna Haitsiukevich, Kai Puolamäki

CoRR, March, 2026

Information Hidden in Gradients of Regression with Target Noise.

Arash Jamshidi, Katsiaryna Haitsiukevich, Kai Puolamäki

CoRR, January, 2026

2025

Advances in physics-informed deep learning.

Katsiaryna Haitsiukevich

PhD thesis, 2025

GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling.

Arash Jamshidi, Lauri Seppäläinen, Katsiaryna Haitsiukevich, Hoang Phuc Hau Luu, Anton Björklund, Kai Puolamäki

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

In-Context Symbolic Regression: Leveraging Language Models for Function Discovery.

Matteo Merler, Nicola Dainese, Katsiaryna Haitsiukevich

CoRR, 2024

Diffusion Models as Probabilistic Neural Operators for Recovering Unobserved States of Dynamical Systems.

Katsiaryna Haitsiukevich, Onur Poyraz, Pekka Marttinen, Alexander Ilin

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery.

Matteo Merler, Katsiaryna Haitsiukevich, Nicola Dainese, Pekka Marttinen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2024

2023

Improved Training of Physics-Informed Neural Networks with Model Ensembles.

Katsiaryna Haitsiukevich, Alexander Ilin

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Learning Trajectories of Hamiltonian Systems with Neural Networks.

Katsiaryna Haitsiukevich, Alexander Ilin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

A Grid-Structured Model of Tubular Reactors.

Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021