Zobrazeno 1 - 10
of 2 527
pro vyhledávání: '"Rumiantsev, A."'
Autor:
Hu, Yaochen, Zeng, Mai, Zhang, Ge, Rumiantsev, Pavel, Ma, Liheng, Zhang, Yingxue, Coates, Mark
Graph Neural Networks (GNN) exhibit superior performance in graph representation learning, but their inference cost can be high, due to an aggregation operation that can require a memory fetch for a very large number of nodes. This inference cost is
Externí odkaz:
http://arxiv.org/abs/2410.19723
Autor:
Khrabrov, Kuzma, Ber, Anton, Tsypin, Artem, Ushenin, Konstantin, Rumiantsev, Egor, Telepov, Alexander, Protasov, Dmitry, Shenbin, Ilya, Alekseev, Anton, Shirokikh, Mikhail, Nikolenko, Sergey, Tutubalina, Elena, Kadurin, Artur
Methods of computational quantum chemistry provide accurate approximations of molecular properties crucial for computer-aided drug discovery and other areas of chemical science. However, high computational complexity limits the scalability of their a
Externí odkaz:
http://arxiv.org/abs/2406.14347
Autor:
Rumiantsev, Pavel, Coates, Mark
In terms of accuracy, Graph Neural Networks (GNNs) are the best architectural choice for the node classification task. Their drawback in real-world deployment is the latency that emerges from the neighbourhood processing operation. One solution to th
Externí odkaz:
http://arxiv.org/abs/2406.11919
Autor:
Tsypin, Artem, Ugadiarov, Leonid, Khrabrov, Kuzma, Telepov, Alexander, Rumiantsev, Egor, Skrynnik, Alexey, Panov, Aleksandr I., Vetrov, Dmitry, Tutubalina, Elena, Kadurin, Artur
Molecular conformation optimization is crucial to computer-aided drug discovery and materials design. Traditional energy minimization techniques rely on iterative optimization methods that use molecular forces calculated by a physical simulator (orac
Externí odkaz:
http://arxiv.org/abs/2311.06295
Autor:
Egor Rumiantsev, Kuzma Khrabrov, Artem Tsypin, Nikita D. Peresypkin, Radel R. Gimaev, Vladimir Zverev, Roman Eremin, Artur Kadurin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract FeRh-based alloys have attracted significant attention due to their magnetic phase transition and significant magnetocaloric effects. These properties position them as promising candidates for fundamental research and practical applications,
Externí odkaz:
https://doaj.org/article/bdaaba7696ee4f69951a7b04e45c9276
Publikováno v:
Folia Oecologica, Vol 51, Iss 2, Pp 136-145 (2024)
Enabling natural seed regeneration is important because natural stands grown from seeds are more productive compared to vegetative and artificial ones; they are also more resistant to adverse environmental factors and climate change. The aim of the s
Externí odkaz:
https://doaj.org/article/78fa0ec0ad3a4b01bfdd1e0e5b0b9927
Autor:
Rumiantsev, Egor1,2 egor.rumiantsev@epfl.ch, Khrabrov, Kuzma1 khrabrov@airi.net, Tsypin, Artem1 tsypin@airi.net, Peresypkin, Nikita D.3, Gimaev, Radel R.3, Zverev, Vladimir3, Eremin, Roman1, Kadurin, Artur1,4 kadurin@airi.net
Publikováno v:
Scientific Reports. 9/4/2024, Vol. 14 Issue 1, p1-8. 8p.
Publikováno v:
Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika, Vol 67, Iss 1, Pp 5-15 (2024)
In microprocessor automation and control systems, the amplitude (effective) values of the fundamental harmonic of the input signals are widely used as information parameters of the controlled quantities. They are most often determined by samples of o
Externí odkaz:
https://doaj.org/article/a6df00bb05bc4499adfe96d2ff8402ac
Publikováno v:
Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika, Vol 67, Iss 2, Pp 115-124 (2024)
A technique is proposed for the formation of emergency components of current and voltage of a power transmission line by a computational experiment in the MATLAB-Simulink dynamic simulating system (DSS) in order to use them as input information signa
Externí odkaz:
https://doaj.org/article/9f9501fe60ee45a79a2792e86cc68bc7
Autor:
Semenov, Konstantin N., Prokopiev, Ilya A., Petukhova, Natalya V., Kremenetskaya, Uliana A., Senichkina, Dina A., Epifanovskaya, Olga S., Rumiantsev, Andrei M., Andoskin, Pavel A., Rizaev, Jasur A., Kholmurodova, Dilafruz K., Ageev, Sergei V., Anufrikov, Yurii A., Zakharov, Egor E., Moiseev, Ivan S., Sharoyko, Vladimir V.
Publikováno v:
In Journal of Molecular Liquids 1 November 2024 413