CLEF: Contrastive Learning of Equivariant Features in CT Images. - Ilya Kuleshov; Mikhail Goncharov; Vera Soboleva (FLARE@MICCAI, 2022)

Universal representations for financial transactional data: embracing local, global, and external contexts. - Alexandra Bazarova; Maria Kovaleva; Ilya Kuleshov; Evgenia Romanenkova; Alexander Stepikin; Alexandr Yugay; Dzhambulat Mollaev; Ivan Kireev; Andrey V. Savchenko; Alexey Zaytsev 002 (CoRR, 2024)

COTODE: COntinuous Trajectory neural Ordinary Differential Equations for modelling event sequences. - Ilya Kuleshov; Galina Boeva; Vladislav Zhuzhel; Evgenia Romanenkova; Evgeni Vorsin; Alexey Zaytsev 002 (CoRR, 2024)

Learning transactions representations for information management in banks: Mastering local, global, and external knowledge. - Alexandra Bazarova; Maria Kovaleva; Ilya Kuleshov; Evgenia Romanenkova; Alexander Stepikin; Aleksandr Yugay; Dzhambulat Mollaev; Ivan Kireev; Andrey V. Savchenko; Alexey Zaytsev 002 (Int. J. Inf. Manag. Data Insights, 2025)