Zobrazeno 1 - 10
of 11 379
pro vyhledávání: '"A. Aksenov"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 11429-11463 (2023)
In this study, we investigate the spatiotemporal dynamics of the neural oscillations by analyzing the electric potential that arises from neural activity. We identify two types of dynamics based on the frequency and phase of oscillations: standing wa
Externí odkaz:
https://doaj.org/article/93f10f6eca4a4561aa79780831f121b1
Autor:
S. Wetterich, A. Kizyakov, M. Fritz, J. Wolter, G. Mollenhauer, H. Meyer, M. Fuchs, A. Aksenov, H. Matthes, L. Schirrmeister, T. Opel
Publikováno v:
The Cryosphere, Vol 14, Pp 4525-4551 (2020)
The present study examines the formation history and cryolithological properties of the late-Pleistocene Yedoma Ice Complex (IC) and its Holocene cover in the eastern Lena delta on Sobo-Sise Island. The sedimentary sequence was continuously sampled a
Externí odkaz:
https://doaj.org/article/bb2a755dc2754e1e9b5efa390eafe3ab
Autor:
Zalivako, Ilia V., Gircha, Alexander I., Nikolaeva, Anastasiia S., Drozhzhin, Denis A., Borisenko, Alexander S., Korolkov, Andrei E., Semenin, Nikita V., Galstyan, Kristina P., Kamenskikh, Pavel A., Smirnov, Vasilii N., Aksenov, Mikhail A., Sidorov, Pavel L., Kiktenko, Evgeniy O., Khabarova, Ksenia Yu., Fedorov, Aleksey K., Kolachevsky, Nikolay N., Semerikov, Ilya A.
Here we present the results of benchmarking of a quantum processor based on trapped $^{171}$Yb$^{+}$ ions by performing basic quantum machine learning algorithms. Specifically, we carry out a supervised binary classification of small-scale digits ima
Externí odkaz:
http://arxiv.org/abs/2406.12007
In this work, we introduce a novel approach to regularization in multivariable regression problems. Our regularizer, called DLoss, penalises differences between the model's derivatives and derivatives of the data generating function as estimated from
Externí odkaz:
http://arxiv.org/abs/2405.00555
Autor:
Gorbatovski, Alexey, Shaposhnikov, Boris, Malakhov, Alexey, Surnachev, Nikita, Aksenov, Yaroslav, Maksimov, Ian, Balagansky, Nikita, Gavrilov, Daniil
The complexity of the alignment problem stems from the fact that existing methods are considered unstable. Reinforcement Learning from Human Feedback (RLHF) addresses this issue by minimizing the KL divergence between the trained policy and the initi
Externí odkaz:
http://arxiv.org/abs/2404.09656
Autor:
S. Wetterich, N. Rudaya, L. Nazarova, L. Syrykh, M. Pavlova, O. Palagushkina, A. Kizyakov, J. Wolter, T. Kuznetsova, A. Aksenov, K. R. Stoof-Leichsenring, L. Schirrmeister, M. Fritz
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Late Pleistocene permafrost of the Yedoma type constitutes a valuable paleo-environmental archive due to the presence of numerous and well-preserved floral and faunal fossils. The study of the fossil Yedoma inventory allows for qualitative and quanti
Externí odkaz:
https://doaj.org/article/4f265295ff9c45bbbccf5d0dbee45097
Autor:
Iakovlev, Zakhar, Chulkov, Alexey, Golikov, Nikita, Lukianov, Vyacheslav, Zinoviev, Nikita, Ivanov, Dmitry, Aksenov, Vitaly
One common way to speed up the find operation within a set of text files involves a trigram index. This structure is merely a map from a trigram (sequence consisting of three characters) to a set of files which contain it. When searching for a patter
Externí odkaz:
http://arxiv.org/abs/2403.03751
Demand-aware communication networks are networks whose topology is optimized toward the traffic they need to serve. These networks have recently been enabled by novel optical communication technologies and are investigated intensively in the context
Externí odkaz:
http://arxiv.org/abs/2403.03724
Autor:
Aksenov, Yaroslav, Balagansky, Nikita, Vaina, Sofia Maria Lo Cicero, Shaposhnikov, Boris, Gorbatovski, Alexey, Gavrilov, Daniil
Advancing the frontier of subquadratic architectures for Language Models (LMs) is crucial in the rapidly evolving field of natural language processing. Current innovations, including State Space Models, were initially celebrated for surpassing Transf
Externí odkaz:
http://arxiv.org/abs/2402.10644
Autor:
Zalivako, Ilia V., Nikolaeva, Anastasiia S., Borisenko, Alexander S., Korolkov, Andrei E., Sidorov, Pavel L., Galstyan, Kristina P., Semenin, Nikita V., Smirnov, Vasilii N., Aksenov, Mikhail A., Makushin, Konstantin M., Kiktenko, Evgeniy O., Fedorov, Aleksey K., Semerikov, Ilya A., Khabarova, Ksenia Yu., Kolachevsky, Nikolay N.
We demonstrate a quantum processor based on a 3D linear Paul trap that uses $^{171}$Yb$^{+}$ ions with 8 individually controllable four-level qudits (ququarts), which is computationally equivalent to a 16-qubit quantum processor. The design of the de
Externí odkaz:
http://arxiv.org/abs/2402.03121