Zobrazeno 1 - 10
of 69 898
pro vyhledávání: '"flow time"'
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
This work focuses on the gradient flow dynamics of a neural network model that uses correlation loss to approximate a multi-index function on high-dimensional standard Gaussian data. Specifically, the multi-index function we consider is a sum of neur
Externí odkaz:
http://arxiv.org/abs/2411.08798
Autor:
Kurniawan, Dwi1 dwi_kurniawan@itenas.ac.id, Yusriski, Rinto2 rinto.yusriski@lecture.unjani.ac.id, Isnaini, Mohammad Mi’radj1 isnaini@itb.ac.id, Ma’ruf, Anas1 maruf@itb.ac.id, Halim, Abdul Hakim1 ahakimhalim@itb.ac.id
Publikováno v:
Journal of Industrial Engineering & Management. 2024, Vol. 17 Issue 2, p542-561. 20p.
Autor:
Cheng, Zhen, Xiong, Guang-yi
The proper flow time for the Wilson flow in calculating the topological charge, topological susceptibility, and topological charge density correlator (TCDC) using the gluonic definition is analyzed. The proper flow time for the topological charge and
Externí odkaz:
http://arxiv.org/abs/2409.02756
Autor:
Shoji, Kosuke1,2 (AUTHOR), Ohbe, Hiroyuki1 (AUTHOR) hohbey@gmail.com, Matsuyama, Tasuku3 (AUTHOR), Inoue, Akihiko4 (AUTHOR), Hifumi, Toru5 (AUTHOR), Sakamoto, Tetsuya6 (AUTHOR), Kuroda, Yasuhiro7 (AUTHOR), Kushimoto, Shigeki1 (AUTHOR), Sawano, Hirotaka (AUTHOR), Egawa, Yuko (AUTHOR), Kato, Shunichi (AUTHOR), Sugiyama, Kazuhiro (AUTHOR), Bunya, Naofumi (AUTHOR), Kasai, Takehiko (AUTHOR), Ijuin, Shinichi (AUTHOR), Nakayama, Shinichi (AUTHOR), Kanda, Jun (AUTHOR), Kanou, Seiya (AUTHOR), Takiguchi, Toru (AUTHOR), Yokobori, Shoji (AUTHOR)
Publikováno v:
Journal of Intensive Care. 6/11/2024, Vol. 12 Issue 1, p1-8. 8p.
In this paper, we explore how a natural generalization of Shortest Remaining Processing Time (SRPT) can be a powerful \emph{meta-algorithm} for online scheduling. The meta-algorithm processes jobs to maximally reduce the objective of the correspondin
Externí odkaz:
http://arxiv.org/abs/2409.03020
Autor:
Pastore, Erica1 (AUTHOR), Alfieri, Arianna1 (AUTHOR), Matta, Andrea2 (AUTHOR) andrea.matta@polimi.it, Previtali, Barbara2 (AUTHOR)
Publikováno v:
International Journal of Production Research. Jul2024, Vol. 62 Issue 14, p5168-5184. 17p.
Akademický článek
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Publikováno v:
Journal of Industrial Engineering and Management, Vol 17, Iss 2, Pp 542-561 (2024)
Purpose: This paper investigates a batch scheduling problem where pre-processing is required for parts before processing, considering time-changing effects from part deterioration and operator learning-forgetting. Design/methodology/approach: A math
Externí odkaz:
https://doaj.org/article/32030a60f88b421ea998c0648e0dd060
Autor:
Kosuke Shoji, Hiroyuki Ohbe, Tasuku Matsuyama, Akihiko Inoue, Toru Hifumi, Tetsuya Sakamoto, Yasuhiro Kuroda, Shigeki Kushimoto, the SAVE-J II study group
Publikováno v:
Journal of Intensive Care, Vol 12, Iss 1, Pp 1-8 (2024)
Abstract Background In out-of-hospital cardiac arrest (OHCA) patients with extracorporeal cardiopulmonary resuscitation (ECPR), the association between low-flow time and outcomes in accidental hypothermia (AH) patients compared to those of patients w
Externí odkaz:
https://doaj.org/article/cfb7adb4d3504c0dbb22848c630c282c
Publikováno v:
JHEP 05 (2024) 179
The gradient-flow formalism proves to be a useful tool in lattice calculations of quantum chromodynamics. For example, it can be used as a scheme to renormalize composite operators by inverting the short-flow-time expansion of the corresponding flowe
Externí odkaz:
http://arxiv.org/abs/2311.16799