2 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
A theoretical framework for self-supervised contrastive learning for continuous dependent data
Alexander Marusov, Aleksandr Yugay, Alexey Zaytsev
Self-supervised learning (SSL) has emerged as a powerful approach to learning representations, particularly in the field of computer vision. However, its application to dependent d…