Zobrazeno 1 - 10
of 31 593
pro vyhledávání: '"Sakaue"'
Publikováno v:
Soft Matter, 2024,20, 6848-6856(Open Access)
Given the wide range of length scales, the analysis of polymer systems often requires coarse-graining, for which various levels of description may be possible depending on the phenomenon under consideration. Here, we provide a super-coarse grained de
Externí odkaz:
http://arxiv.org/abs/2409.02461
Tensor cross interpolation (TCI) is a powerful technique for learning a tensor train (TT) by adaptively sampling a target tensor based on an interpolation formula. However, when the tensor evaluations contain random noise, optimizing the TT is more a
Externí odkaz:
http://arxiv.org/abs/2405.12730
Autor:
Sakamoto, Yuta, Sakaue, Takahiro
Statistics of stochastic processes are crucially influenced by the boundary conditions. In one spatial dimension, for example, the first passage time distribution in semi-infinite space (one absorbing boundary) is markedly different from that in a fi
Externí odkaz:
http://arxiv.org/abs/2405.11815
Autor:
Oki, Taihei, Sakaue, Shinsaku
M${}^{\natural}$-concave functions, a.k.a. gross substitute valuation functions, play a fundamental role in many fields, including discrete mathematics and economics. In practice, perfect knowledge of M${}^{\natural}$-concave functions is often unava
Externí odkaz:
http://arxiv.org/abs/2405.12439
Autor:
Fushimi, K., Chernyak, D., Ejiri, H., Hata, K., Hazama, R., Iida, T., Ikeda, H., Imagawa, K., Inoue, K., Ito, H., Kisimoto, T., Koga, M., Kotera, K., Kozlov, A., Kurosawa, S., Nakamura, K., Orito, R., Sakaguchi, A., Sakaue, A., Shima, T., Takaku, Y., Takemoto, Y., Umehara, S., Urano, Y., Yamamoto, Y., Yasuda, K., Yoshida, S.
Publikováno v:
Proceedings of the 37th Workshop on Radiation Detectors and Their Uses, KEK Proceedings 2023-1, (2024), p43
The existence of cosmic dark matter and neutrino properties are long-standing problems in cosmology and particle physics. These problems have been investigated by using radiation detectors. We will discuss the application of inorganic crystal scintil
Externí odkaz:
http://arxiv.org/abs/2402.08786
This paper studies online structured prediction with full-information feedback. For online multiclass classification, Van der Hoeven (2020) established \emph{finite} surrogate regret bounds, which are independent of the time horizon, by introducing a
Externí odkaz:
http://arxiv.org/abs/2402.08180
This paper considers master equations for Markovian kinetic schemes that possess the detailed balance property. Chemical kinetics, as a prime example, often yields large-scale, highly stiff equations. Based on chemical intuitions, Sumiya et al. (2015
Externí odkaz:
http://arxiv.org/abs/2312.05470
Autor:
Oki, Taihei, Sakaue, Shinsaku
Recent years have seen a growing interest in accelerating optimization algorithms with machine-learned predictions. Sakaue and Oki (NeurIPS 2022) have developed a general framework that warm-starts the L-convex function minimization method with predi
Externí odkaz:
http://arxiv.org/abs/2306.05865
Autor:
Kenichi Yamamoto, Shinichi Namba, Kyuto Sonehara, Ken Suzuki, Saori Sakaue, Niall P. Cooke, Shinichi Higashiue, Shuzo Kobayashi, Hisaaki Afuso, Kosho Matsuura, Yojiro Mitsumoto, Yasuhiko Fujita, Torao Tokuda, the Biobank Japan Project, Koichi Matsuda, Takashi Gakuhari, Toshimasa Yamauchi, Takashi Kadowaki, Shigeki Nakagome, Yukinori Okada
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract The tripartite ancestral structure is a recently proposed model for the genetic origin of modern Japanese, comprising indigenous Jomon hunter-gatherers and two additional continental ancestors from Northeast Asia and East Asia. To investigat
Externí odkaz:
https://doaj.org/article/60fbca4149484f788496d90d83a64de5
Autor:
Sakaue, Shinsaku, Oki, Taihei
How to solve high-dimensional linear programs (LPs) efficiently is a fundamental question. Recently, there has been a surge of interest in reducing LP sizes using random projections, which can accelerate solving LPs independently of improving LP solv
Externí odkaz:
http://arxiv.org/abs/2309.00203