4 papers
WWAggr: A Window Wasserstein-based Aggregation for Ensemble Change Point Detection
Alexander Stepikin, Evgenia Romanenkova, Alexey Zaytsev
Change Point Detection (CPD) aims to identify moments of abrupt distribution shifts in data streams. Real-world high-dimensional CPD remains challenging due to data pattern complex…
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…
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…
Similarity learning for wells based on logging data
Evgenia Romanenkova, Alina Rogulina, Anuar Shakirov +6
One of the first steps during the investigation of geological objects is the interwell correlation. It provides information on the structure of the objects under study, as it compr…