Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Udovichenko, Igor"'
Event sequences, characterized by irregular sampling intervals and a mix of categorical and numerical features, are common data structures in various real-world domains such as healthcare, finance, and user interaction logs. Despite advances in tempo
Externí odkaz:
http://arxiv.org/abs/2410.03399
Autor:
Kolesov, Alexander, Mokrov, Petr, Udovichenko, Igor, Gazdieva, Milena, Pammer, Gudmund, Burnaev, Evgeny, Korotin, Alexander
Given a collection of probability measures, a practitioner sometimes needs to find an "average" distribution which adequately aggregates reference distributions. A theoretically appealing notion of such an average is the Wasserstein barycenter, which
Externí odkaz:
http://arxiv.org/abs/2402.03828
Autor:
Moskvoretskii, Viktor, Osin, Dmitry, Shvetsov, Egor, Udovichenko, Igor, Zhelnin, Maxim, Dukhovny, Andrey, Zhimerikina, Anna, Burnaev, Evgeny
This study explores the application of self-supervised learning techniques for event sequences. It is a key modality in various applications such as banking, e-commerce, and healthcare. However, there is limited research on self-supervised learning f
Externí odkaz:
http://arxiv.org/abs/2401.15935
Autor:
Udovichenko, Igor, Shvetsov, Egor, Divitsky, Denis, Osin, Dmitry, Trofimov, Ilya, Glushenko, Anatoly, Sukharev, Ivan, Berestenev, Dmitry, Burnaev, Evgeny
Neural Architecture Search (NAS) methods are widely used in various industries to obtain high quality taskspecific solutions with minimal human intervention. Event Sequences find widespread use in various industrial applications including churn predi
Externí odkaz:
http://arxiv.org/abs/2401.03246
Autor:
Kolesov, Alexander, Mokrov, Petr, Udovichenko, Igor, Gazdieva, Milena, Pammer, Gudmund, Kratsios, Anastasis, Burnaev, Evgeny, Korotin, Alexander
Optimal transport (OT) barycenters are a mathematically grounded way of averaging probability distributions while capturing their geometric properties. In short, the barycenter task is to take the average of a collection of probability distributions
Externí odkaz:
http://arxiv.org/abs/2310.01105
Several methods for inversion of face recognition models were recently presented, attempting to reconstruct a face from deep templates. Although some of these approaches work in a black-box setup using only face embeddings, usually, on the end-user s
Externí odkaz:
http://arxiv.org/abs/2106.14290
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Autor:
Turobov, Valery I., Azev, Viatcheslav N., Shevelev, Alexei B., Pozdniakova, Natalia V., Biryukova, Yulia K., Murashev, Arkady N., Lipkin, Valery M., Udovichenko, Igor P.
Publikováno v:
BioNanoScience; Mar2018, Vol. 8 Issue 1, p484-489, 6p
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