3 papers
cs.LG2026
U-Former ODE: Fast Probabilistic Forecasting of Irregular Time Series
Ilya Kuleshov, Alexander Marusov, Alexey Zaytsev
Probabilistic forecasting of irregularly sampled time series is crucial in domains such as healthcare and finance, yet it remains a formidable challenge. Existing Neural Controlled…
cs.LG2025
Parameter-Efficient Neural CDEs via Implicit Function Jacobians
Ilya Kuleshov, Alexey Zaytsev
Neural Controlled Differential Equations (Neural CDEs, NCDEs) are a unique branch of methods, specifically tailored for analysing temporal sequences. However, they come with drawba…
cs.AI2025
DOoM: Difficult Olympiads of Math
Ilya Kuleshov, Ilin Pavel, Nikolay Kompanets +2
This paper introduces DOoM, a new open-source benchmark designed to assess the capabilities of language models in solving mathematics and physics problems in Russian. The benchmark…