Zobrazeno 1 - 10
of 293
pro vyhledávání: '"Shlenskii, A."'
There is a prevalent opinion that diffusion-based models outperform GAN-based counterparts in the Image Super Resolution (ISR) problem. However, in most studies, diffusion-based ISR models employ larger networks and are trained longer than the GAN ba
Externí odkaz:
http://arxiv.org/abs/2405.17261
Autor:
Kastryulin, Sergey, Konev, Artem, Shishenya, Alexander, Lyapustin, Eugene, Khurshudov, Artem, Tselousov, Alexander, Vinokurov, Nikita, Kuznedelev, Denis, Markovich, Alexander, Livshits, Grigoriy, Kirillov, Alexey, Tabisheva, Anastasiia, Chubarova, Liubov, Kaminskaia, Marina, Ustyuzhanin, Alexander, Shvetsov, Artemii, Shlenskii, Daniil, Startsev, Valerii, Kornilov, Dmitrii, Romanov, Mikhail, Babenko, Artem, Ovcharenko, Sergei, Khrulkov, Valentin
In the rapidly progressing field of generative models, the development of efficient and high-fidelity text-to-image diffusion systems represents a significant frontier. This study introduces YaART, a novel production-grade text-to-image cascaded diff
Externí odkaz:
http://arxiv.org/abs/2404.05666
Autor:
Gorishniy, Yury, Rubachev, Ivan, Kartashev, Nikolay, Shlenskii, Daniil, Kotelnikov, Akim, Babenko, Artem
Deep learning (DL) models for tabular data problems (e.g. classification, regression) are currently receiving increasingly more attention from researchers. However, despite the recent efforts, the non-DL algorithms based on gradient-boosted decision
Externí odkaz:
http://arxiv.org/abs/2307.14338
Autor:
Titarenko, Yu.E., Balyuk, S.A., Batyaev, V.F., Belousov, V.I., Bedretdinov, I.A., Yu. Blandinskiy, V., Davidenko, V.D., Dyachkov, I.I., Zhivun, V.M., Zaritstkiy, Ya.O., Ioannisian, M.V., Kirsanov, A.S., Kovalishin, A.A., Kovalenko, N.A., Kuteev, B.V., Legostaev, V.O., Malkov, M.R., Mednikov, I.V., Pavlov, K.V., Yu. Titarenko, A., Tikhonov, R.S., Shlenskii, M.N., Chernov, K.G.
Publikováno v:
In Annals of Nuclear Energy February 2025 211
Autor:
Shlenskii, M. N.1,2 (AUTHOR) shlenskiy_mn@nrcki.ru, Dlougach, E. D.1 (AUTHOR) edlougach@gmail.com, Kuteev, B. V.1 (AUTHOR) Kuteev_BV@nrcki.ru
Publikováno v:
Physics of Atomic Nuclei. 2023 Suppl 2, Vol. 86, pS134-S146. 13p.
Autor:
Dlougach, E. D.1 (AUTHOR) edlougach@gmail.com, Shlenskii, M. N.1,2 (AUTHOR), Kuteev, B. V.1 (AUTHOR)
Publikováno v:
Plasma Physics Reports. Oct2023, Vol. 49 Issue 10, p1135-1144. 10p.
Publikováno v:
Atoms, Vol 10, Iss 4, p 143 (2022)
Neutral beam injection is supposed to be the main source of high-energy particles, driving non-inductive current and generating primary neutrons in fusion neutron sources design based on tokamaks. Numerical simulation of high-energy particles’ ther
Externí odkaz:
https://doaj.org/article/c768017e99194863a59475c64be4db85
Autor:
Mikhail Shlenskii, Boris Kuteev
Publikováno v:
Applied Sciences, Vol 10, Iss 23, p 8417 (2020)
This paper is devoted to applications of fusion-fission hybrid systems (FFHS) as a powerful neutron source implementing transmutation of minor actinides (MA: Np, Am, Cm) extracted from the spent nuclear fuel (SNF) of nuclear reactors. Calculations wh
Externí odkaz:
https://doaj.org/article/cfdabefaaed24f85bc8d12f97a386e18
Autor:
Orhan, Kaan, Belgin, Ceren Aktuna, Manulis, David, Golitsyna, Maria, Bayrak, Seval, Aksoy, Secil, Sanders, Alex, Önder, Merve, Ezhov, Matvey, Shamshiev, Mamat, Gusarev, Maxim, Shlenskii, Vladislav
Publikováno v:
Imaging Science in Dentistry; Sep2023, Vol. 53 Issue 3, p199-207, 9p