Zobrazeno 1 - 10
of 545
pro vyhledávání: '"Shchur, P. A."'
Influence of anisotropy on the study of critical behavior of spin models by machine learning methods
Autor:
Sukhoverkhova, Diana, Shchur, Lev
Publikováno v:
Pis'ma v ZhETF, 120(8), 644-649 (2024)
In this paper, we applied a deep neural network to study the issue of knowledge transferability between statistical mechanics models. The following computer experiment was conducted. A convolutional neural network was trained to solve the problem of
Externí odkaz:
http://arxiv.org/abs/2410.14523
The development of new algorithms for simulations in physics is as important as the development of new analytical methods. In this paper, we present a comparison of the recently developed microcanonical population annealing (MCPA) algorithm with the
Externí odkaz:
http://arxiv.org/abs/2405.10865
Autor:
Ansari, Abdul Fatir, Stella, Lorenzo, Turkmen, Caner, Zhang, Xiyuan, Mercado, Pedro, Shen, Huibin, Shchur, Oleksandr, Rangapuram, Syama Sundar, Arango, Sebastian Pineda, Kapoor, Shubham, Zschiegner, Jasper, Maddix, Danielle C., Wang, Hao, Mahoney, Michael W., Torkkola, Kari, Wilson, Andrew Gordon, Bohlke-Schneider, Michael, Wang, Yuyang
We introduce Chronos, a simple yet effective framework for pretrained probabilistic time series models. Chronos tokenizes time series values using scaling and quantization into a fixed vocabulary and trains existing transformer-based language model a
Externí odkaz:
http://arxiv.org/abs/2403.07815
Autor:
Mozolenko, Vyacheslav, Shchur, Lev
Publikováno v:
Phys. Rev. E 109, 045306 (2024)
We present a modification of the Rose-Machta algorithm (Phys. Rev. E 100 (2019) 063304) and estimate the density of states for a two-dimensional Blume-Capel model, simulating $10^5$ replicas in parallel for each set of parameters. We perform a finite
Externí odkaz:
http://arxiv.org/abs/2402.18985
Autoregressive neural networks within the temporal point process (TPP) framework have become the standard for modeling continuous-time event data. Even though these models can expressively capture event sequences in a one-step-ahead fashion, they are
Externí odkaz:
http://arxiv.org/abs/2311.01139
Autor:
Robert Kasner, Patrycja Walichnowska, Serhii Korobka, Taras Shchur, Ihor Stukalets, Serhiy Syrotyuk, Mykhailo Babych, Vadym Ptashnyk, Andrzej Tomporowski, Weronika Kruszelnicka
Publikováno v:
Advances in Sciences and Technology, Vol 18, Iss 7, Pp 18-32 (2024)
The article describes design of a solar dryer with a heat pump, which is used to increase heat output of the unit twice to solve the problem of using environmentally clean sources of thermal energy for fruit drying. The authors of the research have d
Externí odkaz:
https://doaj.org/article/bca74a322067452489089c704fadc066
Autor:
Yaroslav Shchur, Houda El Karout, Bouchta Sahraoui, Anatoliy Andrushchak, Guillermo Beltramo, Denys Pustovyi, Svetlana Vitusevich, Patrick Huber, Andriy V. Kityk
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract We demonstrate a hybrid nanocomposite combining mesoporous silica, p $$\hbox {SiO}_2$$ SiO 2 , as a host medium and guest lithium niobate $$\hbox {LiNbO}_3$$ LiNbO 3 nanocrystals embedded into tubular silica nanochannels by calcination of th
Externí odkaz:
https://doaj.org/article/85c34f8fb05349689d24103ac79ea682
Autor:
Shchur, Oleksandr, Turkmen, Caner, Erickson, Nick, Shen, Huibin, Shirkov, Alexander, Hu, Tony, Wang, Yuyang
We introduce AutoGluon-TimeSeries - an open-source AutoML library for probabilistic time series forecasting. Focused on ease of use and robustness, AutoGluon-TimeSeries enables users to generate accurate point and quantile forecasts with just 3 lines
Externí odkaz:
http://arxiv.org/abs/2308.05566
Publikováno v:
Phys. Rev. E 108, 032102 (2023)
We analyze the problem of supervised learning of ferromagnetic phase transitions from the statistical physics perspective. We consider two systems in two universality classes, the two-dimensional Ising model and two-dimensional Baxter-Wu model, and p
Externí odkaz:
http://arxiv.org/abs/2305.03342
Publikováno v:
Фінансово-кредитна діяльність: проблеми теорії та практики, Vol 5, Iss 58 (2024)
The article is devoted to highlighting the results of research aimed at improving existing approaches to conducting a comprehensive analysis of the nature of the relationships between the parameters of the state's monetary and debt policy. Among othe
Externí odkaz:
https://doaj.org/article/1db9d14855754eecacaf30760fe3386f