Zobrazeno 1 - 10
of 5 238
pro vyhledávání: '"Maltseva A."'
Publikováno v:
BIO Web of Conferences, Vol 103, p 00039 (2024)
The analysis of research literature indicates that certain innovations are required in managing vegetable carbon-containing waste. A method of obtaining a new sorption material from vegetable waste of soya Glycine max (leaves, stalks, pod shucks), ca
Externí odkaz:
https://doaj.org/article/a8048a8483cf43f49c8a5f651f0e98bd
Autor:
Arkhipkin, Vladimir, Filatov, Andrei, Vasilev, Viacheslav, Maltseva, Anastasia, Azizov, Said, Pavlov, Igor, Agafonova, Julia, Kuznetsov, Andrey, Dimitrov, Denis
We present Kandinsky 3.0, a large-scale text-to-image generation model based on latent diffusion, continuing the series of text-to-image Kandinsky models and reflecting our progress to achieve higher quality and realism of image generation. In this r
Externí odkaz:
http://arxiv.org/abs/2312.03511
Autor:
Morozov, I., Maltseva, Yu.
Linear optics parameters are often estimated using readily available turn-by-turn (TbT) data. In-plane beta functions, which are the most common measurement objectives, can be estimated from the amplitudes or phases of TbT data, providing an overall
Externí odkaz:
http://arxiv.org/abs/2311.14287
Autor:
Morozov, I., Maltseva, Yu.
The primary objective of accelerator tuning is to correct its linear optics. This involves adjusting a large set of parameters, such as quadrupole lens gradients and alignment errors, as well as addressing various calibration errors in beam position
Externí odkaz:
http://arxiv.org/abs/2311.10570
Autor:
Razzhigaev, Anton, Shakhmatov, Arseniy, Maltseva, Anastasia, Arkhipkin, Vladimir, Pavlov, Igor, Ryabov, Ilya, Kuts, Angelina, Panchenko, Alexander, Kuznetsov, Andrey, Dimitrov, Denis
Text-to-image generation is a significant domain in modern computer vision and has achieved substantial improvements through the evolution of generative architectures. Among these, there are diffusion-based models that have demonstrated essential qua
Externí odkaz:
http://arxiv.org/abs/2310.03502
Autor:
Anashin, V. V., Anchugov, O. V., Andrianov, A. V., Astrelina, K. V., Aulchenko, V. M., Baldin, E. M., Baranov, G. N., Barladyan, A. K., Barnyakov, A. Yu., Barnyakov, M. Yu., Basok, I. Yu., Batrakov, A. M., Bekhtenev, E. A., Belikov, O. V., Berkaev, D. E., Blinov, A. E., Blinov, V. E., Blinov, M. F., Bobrov, A. V., Bobrovnikov, V. S., Bogomyagkov, A. V., Bolkhovityanov, D. Yu., Bondar, A. E., Buzykaev, A. R., Cheblakov, P. B., Dorohov, V. L., Emanov, F. A., Gambaryan, V. V., Grigoriev, D. N., Kaminskiy, V. V., Karnaev, S. E., Karpov, G. V., Karpov, S. V., Karukina, K. Yu., Kashtankin, D. P., Kasyanenko, P. V., Katcin, A. A., Kharlamova, T. A., Kiselev, V. A., Kononov, S. A., Krasnov, A. A., Kravchenko, E. A., Kudryavtsev, V. N., Kulikov, V. F., Kuyanov, I. A., Levichev, E. B., Logachev, P. V., Maksimov, D. A., Maltseva, Yu. I., Malyshev, V. M., Maslennikov, A. L., Meshkov, O. I., Mishnev, S. I., Morozov, I. A., Morozov, I. I., Nikiforov, D. A., Nikitin, S. A., Nikolaev, I. B., Okunev, I. N., Oreshkin, S. B., Osipov, A. A., Ovtin, I. V., Pavlenko, A. V., Peleganchuk, S. V., Piminov, P. A., Podgornov, N. A., Prisekin, V. G., Rezanova, O. L., Ruban, A. A., Savinov, G. A., Shamov, A. G., Shekhtman, L. I., Shvedov, D. A., Shwartz, B. A., Simonov, E. A., Sinyatkin, S. V., Skrinsky, A. N., Sokolov, A. V., Starostina, E. V., Sukhanov, D. P., Sukharev, A. M., Talyshev, A. A., Tayursky, V. A., Telnov, V. I., Tikhonov, Yu. A., Todyshev, K. Yu., Tribendis, A. G., Tumaikin, G. M., Usov, Yu. V., Vorobiov, A. I., Zhilich, V. N., Zhukov, A. A., Zhulanov, V. V., Zhuravlev, A. N.
We present the study of the decay $J/\psi \rightarrow \rho\pi$. The results are based on of 5.2~million $J/\psi$ events collected by the KEDR detector at the VEPP-4M collider. The branching fractions are measured to be $\B(J/\psi \rightarrow \rho\pi)
Externí odkaz:
http://arxiv.org/abs/2211.13520
Autor:
Blanzieri, Enrico, Pastorello, Davide, Cavecchia, Valter, Rumyantsev, Alexander, Maltseva, Mariia
In this paper we introduce the Tabu Enhanced Hybrid Quantum Optimization metaheuristic approach useful for optimization problem solving on a quantum hardware. We address the theoretical convergence of the proposed scheme from the viewpoint of the col
Externí odkaz:
http://arxiv.org/abs/2209.01799
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Autor:
Shonenkov, Alex, Kuznetsov, Andrey, Dimitrov, Denis, Shavrina, Tatyana, Chesakov, Daniil, Maltseva, Anastasia, Fenogenova, Alena, Pavlov, Igor, Emelyanov, Anton, Markov, Sergey, Bakshandaeva, Daria, Shybaeva, Vera, Chertok, Andrey
In the report we propose six new implementations of ruCLIP model trained on our 240M pairs. The accuracy results are compared with original CLIP model with Ru-En translation (OPUS-MT) on 16 datasets from different domains. Our best implementations ou
Externí odkaz:
http://arxiv.org/abs/2202.10784
Autor:
Chesakov, Daniil, Maltseva, Anastasia, Groshev, Alexander, Kuznetsov, Andrey, Dimitrov, Denis
Deep fake technology became a hot field of research in the last few years. Researchers investigate sophisticated Generative Adversarial Networks (GAN), autoencoders, and other approaches to establish precise and robust algorithms for face swapping. A
Externí odkaz:
http://arxiv.org/abs/2202.03046