Katsiaryna Haitsiukevich

Orcid: 0000-0001-8116-1292

According to our database1, Katsiaryna Haitsiukevich authored at least 6 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
In-Context Symbolic Regression: Leveraging Language Models for Function Discovery.
CoRR, 2024

Diffusion Models as Probabilistic Neural Operators for Recovering Unobserved States of Dynamical Systems.
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.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023
Improved Training of Physics-Informed Neural Networks with Model Ensembles.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Learning Trajectories of Hamiltonian Systems with Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
A Grid-Structured Model of Tubular Reactors.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021


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