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Ilya Kuleshov
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[i6]Egor Serov, Ilya Kuleshov, Alexey Zaytsev:
Efficient Neural Controlled Differential Equations via Attentive Kernel Smoothing. CoRR abs/2602.02157 (2026)
[i5]Ilya Kuleshov, Alexander Marusov, Alexey Zaytsev:
U-Former ODE: Fast Probabilistic Forecasting of Irregular Time Series. CoRR abs/2602.11738 (2026)- 2025
[j1]Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov
, Evgenia Romanenkova
, Alexander Stepikin, Aleksandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey V. Savchenko, Alexey Zaytsev:
Learning transactions representations for information management in banks: Mastering local, global, and external knowledge. Int. J. Inf. Manag. Data Insights 5(1): 100323 (2025)
[i4]Ilya Kuleshov, Ilin Pavel, Nikolay Kompanets, Ksenia Sycheva, Aleksandr Nikolich:
DOoM: Difficult Olympiads of Math. CoRR abs/2509.23529 (2025)
[i3]Ilya Kuleshov, Alexey Zaytsev:
Parameter-Efficient Neural CDEs via Implicit Function Jacobians. CoRR abs/2512.20625 (2025)- 2024
[i2]Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov
, Evgenia Romanenkova, Alexander Stepikin, Alexandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey V. Savchenko, Alexey Zaytsev:
Universal representations for financial transactional data: embracing local, global, and external contexts. CoRR abs/2404.02047 (2024)
[i1]Ilya Kuleshov, Galina Boeva, Vladislav Zhuzhel, Evgenia Romanenkova
, Evgeni Vorsin, Alexey Zaytsev:
COTODE: COntinuous Trajectory neural Ordinary Differential Equations for modelling event sequences. CoRR abs/2408.08055 (2024)- 2022
[c1]Ilya Kuleshov
, Mikhail Goncharov, Vera Soboleva:
CLEF: Contrastive Learning of Equivariant Features in CT Images. FLARE@MICCAI 2022: 139-151
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