Zobrazeno 1 - 10
of 3 749
pro vyhledávání: '"Komatsuzaki A"'
Autor:
Tanaka, Ryoichi, Mizuno, Yuta, Tsutsumi, Takuro, Toda, Mikito, Taketsugu, Tetsuya, Komatsuzaki, Tamiki
Publikováno v:
J. Chem. Phys. 161, 154103 (2024)
Transition state theory is a standard framework for predicting the rate of a chemical reaction. Although the transition state theory has been successfully applied to numerous chemical reaction analyses, many experimental and theoretical studies have
Externí odkaz:
http://arxiv.org/abs/2403.04128
Autor:
Mizuno, Yuta, Komatsuzaki, Tamiki
Publikováno v:
Phys. Rev. Research 6, 043031 (2024)
We present a quantum algorithm that analyzes time series data simulated by a quantum differential equation solver. The proposed algorithm is a quantum version of the dynamic mode decomposition algorithm used in diverse fields such as fluid dynamics a
Externí odkaz:
http://arxiv.org/abs/2310.17783
Publikováno v:
Australasian Orthodontic Journal, Vol 32, Iss 2, Pp 211-220 (2016)
The purpose of this study was to evaluate the effects of short-term expansion treatment using the quad-helix appliance on dentofacial morphology in orthodontic patients presenting with a hyperdivergent facial pattern.
Externí odkaz:
https://doaj.org/article/15ddc5c1cdb8440288845e4a0a361112
Autor:
Mizuno, Yuta, Komatsuzaki, Tamiki
Publikováno v:
Phys. Rev. Research 6, 013115 (2024)
Finding optimal pathways in chemical reaction networks is essential for elucidating and designing chemical processes, with significant applications such as synthesis planning and metabolic pathway analysis. Such a chemical pathway-finding problem can
Externí odkaz:
http://arxiv.org/abs/2308.04544
Autor:
Sawada, Tomohiro, Paleka, Daniel, Havrilla, Alexander, Tadepalli, Pranav, Vidas, Paula, Kranias, Alexander, Nay, John J., Gupta, Kshitij, Komatsuzaki, Aran
Large Language Models (LLMs) have demonstrated remarkable performance on various quantitative reasoning and knowledge benchmarks. However, many of these benchmarks are losing utility as LLMs get increasingly high scores, despite not yet reaching expe
Externí odkaz:
http://arxiv.org/abs/2307.13692
Autor:
Hayashi, Tatsuya, Ito, Naoki, Tabata, Koji, Nakamura, Atsuyoshi, Fujita, Katsumasa, Harada, Yoshinori, Komatsuzaki, Tamiki
Classification bandits are multi-armed bandit problems whose task is to classify a given set of arms into either positive or negative class depending on whether the rate of the arms with the expected reward of at least h is not less than w for given
Externí odkaz:
http://arxiv.org/abs/2212.13157
Autor:
Komatsuzaki, Aran, Puigcerver, Joan, Lee-Thorp, James, Ruiz, Carlos Riquelme, Mustafa, Basil, Ainslie, Joshua, Tay, Yi, Dehghani, Mostafa, Houlsby, Neil
Training large, deep neural networks to convergence can be prohibitively expensive. As a result, often only a small selection of popular, dense models are reused across different contexts and tasks. Increasingly, sparsely activated models, which seek
Externí odkaz:
http://arxiv.org/abs/2212.05055
Autor:
Tanaka, Ryoichi, Mizuno, Yuta, Tsutsumi, Takuro, Toda, Mikito, Taketsugu, Tetsuya, Komatsuzaki, Tamiki
Publikováno v:
Journal of Chemical Physics; 10/21/2024, Vol. 161 Issue 15, p1-12, 12p
Autor:
Keiko Komatsuzaki, Hiroki Kageshima, Yuki Sekino, Yasuhiro Suzuki, Tsukasa Ugajin, Meiyo Tamaoka, Ryoichi Hanazawa, Akihiro Hirakawa, Yasunari Miyazaki
Publikováno v:
Allergology International, Vol 73, Iss 2, Pp 290-301 (2024)
Background: Allergen immunotherapy (AIT) is the only disease-modifying treatment for immunoglobulin (Ig) E-mediated allergy. Owing to the high prevalence and early onset of hay fever and pollen-food allergy syndrome (PFAS), a safer and simpler treatm
Externí odkaz:
https://doaj.org/article/943bcf1bd1f442fea05ee32cbdd6ad8d
Autor:
Ito, Noboru, Komatsuzaki, Takeshi
We suggest a triple coproduct $\Delta$ which decomposes pointed one-component curves on surfaces into three-component curves. Combined with intersection numbers $\nu$ on three component curves, $\Delta$ gives a stable equivalence invariant of one-com
Externí odkaz:
http://arxiv.org/abs/2203.13672