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2020 – today
- 2024
[c5]Matteo Merler, Katsiaryna Haitsiukevich, Nicola Dainese, Pekka Marttinen:
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery. ACL (Student Research Workshop) 2024: 589-606- [c4]Katsiaryna Haitsiukevich, Onur Poyraz, Pekka Marttinen, Alexander Ilin:
Diffusion Models as Probabilistic Neural Operators for Recovering Unobserved States of Dynamical Systems. MLSP 2024: 1-6 - [i5]Matteo Merler, Nicola Dainese, Katsiaryna Haitsiukevich:
In-Context Symbolic Regression: Leveraging Language Models for Function Discovery. CoRR abs/2404.19094 (2024) - [i4]Katsiaryna Haitsiukevich, Onur Poyraz, Pekka Marttinen, Alexander Ilin:
Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems. CoRR abs/2405.07097 (2024) - 2023
- [c3]Katsiaryna Haitsiukevich
, Alexander Ilin:
Improved Training of Physics-Informed Neural Networks with Model Ensembles. IJCNN 2023: 1-8 - 2022
- [c2]Katsiaryna Haitsiukevich, Alexander Ilin:
Learning Trajectories of Hamiltonian Systems with Neural Networks. ICANN (1) 2022: 562-573 - [i3]Katsiaryna Haitsiukevich, Alexander Ilin:
Learning Trajectories of Hamiltonian Systems with Neural Networks. CoRR abs/2204.05077 (2022) - [i2]Katsiaryna Haitsiukevich, Alexander Ilin:
Improved Training of Physics-Informed Neural Networks with Model Ensembles. CoRR abs/2204.05108 (2022) - 2021
- [c1]Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin:
A Grid-Structured Model of Tubular Reactors. INDIN 2021: 1-6 - [i1]Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin:
A Grid-Structured Model of Tubular Reactors. CoRR abs/2112.10765 (2021)
Coauthor Index
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