32 citations · 44 across the 7 of their papers we have counts for
7 papers · 1 filter
The Information Limits of Neural Controlled Differential Equations Under Sparse Observations
Rostislav Gusev, Evgenia Romanenkova, Alexey Zaytsev
Neural controlled differential equations (Neural CDEs) evolve hidden states along continuous paths constructed by interpolating discrete observations. Sparse measurements leave the…
Learning Transactions Representations for Information Management in Banks: Mastering Local, Global, and External Knowledge
Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov +7
In today's world, banks use artificial intelligence to optimize diverse business processes, aiming to improve customer experience. Most of the customer-related tasks can be categor…
Usage of specific attention improves change point detection
Anna Dmitrienko, Evgenia Romanenkova, Alexey Zaytsev
The change point is a moment of an abrupt alteration in the data distribution. Current methods for change point detection are based on recurrent neural methods suitable for sequent…
Deep learning model solves change point detection for multiple change types
Alexander Stepikin, Evgenia Romanenkova, Alexey Zaytsev
A change points detection aims to catch an abrupt disorder in data distribution. Common approaches assume that there are only two fixed distributions for data: one before and anoth…
InDiD: Instant Disorder Detection via Representation Learning
Evgenia Romanenkova, Alexander Stepikin, Matvey Morozov +1
For sequential data, a change point is a moment of abrupt regime switch in data streams. Such changes appear in different scenarios, including simpler data from sensors and more ch…
Application of Machine Learning to accidents detection at directional drilling
Ekaterina Gurina, Nikita Klyuchnikov, Alexey Zaytsev +5
We present a data-driven algorithm and mathematical model for anomaly alarming at directional drilling. The algorithm is based on machine learning. It compares the real-time drilli…
Real-time data-driven detection of the rock type alteration during a directional drilling
Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov +8
During the directional drilling, a bit may sometimes go to a nonproductive rock layer due to the gap about 20m between the bit and high-fidelity rock type sensors. The only way to…