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pro vyhledávání: '"Korotin, P."'
The silver fluoride Ag$_3$F$_5$ consists structurally of square-planar units formed by four fluoride ions coordinated to a central silver ion, which possesses a partially filled $d$-subshell and the formal valence of +5/3. In this study, we demonstra
Externí odkaz:
http://arxiv.org/abs/2411.07905
We explore the electronic and magnetic properties of NH$_4^+$-intercalated vanadium pentoxide (NH$_4^+$-V$_2$O$_5$), a material that has been identified as a promising cathode for aqueous zinc-ion batteries. Density Functional Theory (DFT) calculatio
Externí odkaz:
http://arxiv.org/abs/2410.14562
Autor:
Asadulaev, Arip, Korst, Rostislav, Shutov, Vitalii, Korotin, Alexander, Grebnyak, Yaroslav, Egiazarian, Vahe, Burnaev, Evgeny
Recently, neural network-based methods for computing optimal transport maps have been effectively applied to style transfer problems. However, the application of these methods to voice conversion is underexplored. In our paper, we fill this gap by in
Externí odkaz:
http://arxiv.org/abs/2411.02402
Autor:
Asadulaev, Arip, Korst, Rostislav, Korotin, Alexander, Egiazarian, Vage, Filchenkov, Andrey, Burnaev, Evgeny
We propose a novel algorithm for offline reinforcement learning using optimal transport. Typically, in offline reinforcement learning, the data is provided by various experts and some of them can be sub-optimal. To extract an efficient policy, it is
Externí odkaz:
http://arxiv.org/abs/2410.14069
Autor:
Gazdieva, Milena, Choi, Jaemoo, Kolesov, Alexander, Choi, Jaewoong, Mokrov, Petr, Korotin, Alexander
A common challenge in aggregating data from multiple sources can be formalized as an \textit{Optimal Transport} (OT) barycenter problem, which seeks to compute the average of probability distributions with respect to OT discrepancies. However, the pr
Externí odkaz:
http://arxiv.org/abs/2410.03974
Autor:
Persiianov, Mikhail, Asadulaev, Arip, Andreev, Nikita, Starodubcev, Nikita, Baranchuk, Dmitry, Kratsios, Anastasis, Burnaev, Evgeny, Korotin, Alexander
Learning conditional distributions $\pi^*(\cdot|x)$ is a central problem in machine learning, which is typically approached via supervised methods with paired data $(x,y) \sim \pi^*$. However, acquiring paired data samples is often challenging, espec
Externí odkaz:
http://arxiv.org/abs/2410.02628
Autor:
Kholkin, Sergei, Ksenofontov, Grigoriy, Li, David, Kornilov, Nikita, Gushchin, Nikita, Burnaev, Evgeny, Korotin, Alexander
The Iterative Markovian Fitting (IMF) procedure based on iterative reciprocal and Markovian projections has recently been proposed as a powerful method for solving the Schr\"odinger Bridge problem. However, it has been observed that for the practical
Externí odkaz:
http://arxiv.org/abs/2410.02601
Autor:
Gushchin, Nikita, Selikhanovych, Daniil, Kholkin, Sergei, Burnaev, Evgeny, Korotin, Alexander
The Schr\"odinger Bridge (SB) problem offers a powerful framework for combining optimal transport and diffusion models. A promising recent approach to solve the SB problem is the Iterative Markovian Fitting (IMF) procedure, which alternates between M
Externí odkaz:
http://arxiv.org/abs/2405.14449
Autor:
Mishenina, T., Pignatari, M., Usenko, I., Soubiran, C., Thielemann, F. -K., Kniazev, A. Yu., Korotin, S. A., Gorbaneva, T.
The oldest stars in the Milky Way are metal-poor with [Fe/H] < -- 1.0, displaying peculiar elemental abundances compared to solar values. The relative variations in the chemical compositions among stars is also increasing with decreasing stellar meta
Externí odkaz:
http://arxiv.org/abs/2405.11234
Over the several recent years, there has been a boom in development of Flow Matching (FM) methods for generative modeling. One intriguing property pursued by the community is the ability to learn flows with straight trajectories which realize the Opt
Externí odkaz:
http://arxiv.org/abs/2403.13117