Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Alekseev, Aleksandr A."'
Autor:
Yeo, Teresa, Atanov, Andrei, Benoit, Harold, Alekseev, Aleksandr, Ray, Ruchira, Akhoondi, Pooya Esmaeil, Zamir, Amir
In this work, we present a method to control a text-to-image generative model to produce training data specifically "useful" for supervised learning. Unlike previous works that employ an open-loop approach and pre-define prompts to generate new data
Externí odkaz:
http://arxiv.org/abs/2403.15309
Autor:
Maeno, Tadashi1 tmaeno@bnl.gov, Alekseev, Aleksandr2, Barreiro Megino, Fernando Harald2, De, Kaushik2, Guan, Wen1, Karavakis, Edward1, Klimentov, Alexei1, Korchuganova, Tatiana3, Lin, FaHui2, Nilsson, Paul1, Wenaus, Torre1, Yang, Zhaoyu1, Zhao, Xin1
Publikováno v:
EPJ Web of Conferences. 5/6/2024, Vol. 295, p1-8. 8p.
Autor:
Korchuganova, Tatiana1 tatiana.korchuganova@cern.ch, Alekseev, Aleksandr2, Klimentov, Alexei3, Wenaus, Torre3, Yang, Zhaoyu3
Publikováno v:
EPJ Web of Conferences. 5/6/2024, Vol. 295, p1-9. 9p.
Publikováno v:
EPJ Web of Conferences. 5/6/2024, Vol. 295, p1-7. 7p.
Autor:
Guan, Wen, Maeno, Tadashi, Bockelman, Brian Paul, Wenaus, Torre, Lin, Fahui, Padolski, Siarhei, Zhang, Rui, Alekseev, Aleksandr
The intelligent Data Delivery Service (iDDS) has been developed to cope with the huge increase of computing and storage resource usage in the coming LHC data taking. iDDS has been designed to intelligently orchestrate workflow and data management sys
Externí odkaz:
http://arxiv.org/abs/2103.00523
For the space of $(\sigma,\tau)$-derivations of the group algebra $ \mathbb{C} [G] $ of discrete countable group $G$, the decomposition theorem for the space of $(\sigma,\tau)$-derivations, generalising the corresponding theorem on ordinary derivatio
Externí odkaz:
http://arxiv.org/abs/2008.00390
Akademický článek
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Autor:
Smirnova, Tatiana S., Ghosh, Sadhan Kumar, Meshheryakov, Stanislav V., Alekseev, Aleksandr A.
Publikováno v:
Journal of Solid Waste Technology & Management; Nov2024, Vol. 50 Issue 4, p677-688, 12p
Autor:
Guan Wen, Maeno Tadashi, Zhang Rui, Weber Christian, Wenaus Torre, Alekseev Aleksandr, Barreiro Megino Fernando Harald, De Kaushik, Karavakis Edward, Klimentov Alexei, Korchuganova Tatiana, Lin FaHui, Nilsson Paul, Yang Zhaoyu, Zhao Xin
Publikováno v:
EPJ Web of Conferences, Vol 295, p 04019 (2024)
Machine Learning (ML) has become one of the important tools for High Energy Physics analysis. As the size of the dataset increases at the Large Hadron Collider (LHC), and at the same time the search spaces become bigger and bigger in order to exploit
Externí odkaz:
https://doaj.org/article/608883bf64c14d22838a5f744d88400c
Publikováno v:
Экономика региона / Economy of Regions. 18(2):609-622
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1050542