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cs.LG2024
Normalizing self-supervised learning for provably reliable Change Point Detection
Alexandra Bazarova, Evgenia Romanenkova, Alexey Zaytsev
Change point detection (CPD) methods aim to identify abrupt shifts in the distribution of input data streams. Accurate estimators for this task are crucial across various real-worl…
cs.LG2024
DeNOTS: Stable Deep Neural ODEs for Time Series
Ilya Kuleshov, Evgenia Romanenkova, Vladislav Zhuzhel +3
Neural CDEs provide a natural way to process the temporal evolution of irregular time series. The number of function evaluations (NFE) is these systems' natural analog of depth (th…