Transfer learning for ensembles: reducing computation time and keeping the diversity. - Ilya Shashkov; Alexey Zaytsev 002; Nikita Balabin; Evgeny Burnaev (AIPR, 2022)

Representation Topology Divergence: A Method for Comparing Neural Network Representations. - Serguei Barannikov; Ilya Trofimov; Nikita Balabin; Evgeny Burnaev (ICML, 2022)

Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. - Timofey Grigoryev; Polina Verezemskaya; Mikhail Krinitskiy; Nikita Anikin; Alexander Gavrikov; Ilya Trofimov; Nikita Balabin; Aleksei Shpilman; Andrei Eremchenko; Sergey Gulev; Evgeny Burnaev; Vladimir Vanovskiy (Remote. Sens., 2022)

Learning topology-preserving data representations. - Ilya Trofimov; Daniil Cherniavskii; Eduard Tulchinskii; Nikita Balabin; Evgeny Burnaev; Serguei Barannikov (ICLR, 2023)

Disentanglement Learning via Topology. - Nikita Balabin; Daria Voronkova; Ilya Trofimov; Evgeny Burnaev; Serguei Barannikov (ICML, 2024)