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Nikita Balabin
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2020 – today
- 2023
- [c3]Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov:
Learning topology-preserving data representations. ICLR 2023 - [i5]Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov:
Learning Topology-Preserving Data Representations. CoRR abs/2302.00136 (2023) - [i4]Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev
, Serguei Barannikov:
Disentanglement Learning via Topology. CoRR abs/2308.12696 (2023) - 2022
- [j1]Timofey Grigoryev
, Polina Verezemskaya
, Mikhail Krinitskiy
, Nikita Anikin, Alexander Gavrikov
, Ilya Trofimov
, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev
, Evgeny Burnaev
, Vladimir Vanovskiy
:
Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. Remote. Sens. 14(22): 5837 (2022) - [c2]Ilya Shashkov
, Alexey Zaytsev
, Nikita Balabin
, Evgeny Burnaev
:
Transfer learning for ensembles: reducing computation time and keeping the diversity. AIPR 2022: 8-13 - [c1]Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev:
Representation Topology Divergence: A Method for Comparing Neural Network Representations. ICML 2022: 1607-1626 - [i3]Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev:
Representation Topology Divergence: A Method for Comparing Neural Network Representations. CoRR abs/2201.00058 (2022) - [i2]Ilya Shashkov, Nikita Balabin, Evgeny Burnaev
, Alexey Zaytsev:
Transfer learning for ensembles: reducing computation time and keeping the diversity. CoRR abs/2206.13116 (2022) - [i1]Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, Nikita Anikin, Alexander Gavrikov, Ilya Trofimov, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev, Evgeny Burnaev
, Vladimir Vanovskiy:
Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. CoRR abs/2210.08877 (2022)
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