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T. Sakurai

31 papers hereh-index 252.5k citations178 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author8
  • last author21

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • hep-lat6
  • math.NA4
  • cond-mat.mtrl-sci3
  • cond-mat.supr-con2
  • nucl-th2
same name
  • T. Sakurai — 23 papers, h 18
  • T. Sakurai — 13 papers, h 38
  • T. Sakurai — 11 papers, h 7
  • T. Sakurai — 2 papers, h 5
  • T. Sakurai — 1 paper, h 1
  • T. Sakurai — 1 paper, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092023
most citedStochastic Estimation of Nuclear Level Density in the Nuclear Shell Model: An Application to Parity-Dependent Level Density in 58Ni

34 citations · 227 across the 31 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cond-mat.str-el2019

A Parallel Computing Method for the Coupled-Cluster Singles and Doubles

Takumi Yamashita, Taichi Kosugi, Yu-ichiro Matsushita +1

In this paper, we present a parallel computing method for the coupled-cluster singles and doubles (CCSD) in periodic systems. The CCSD in periodic systems solves simultaneous equat…

cs.LG2019

Multiclass spectral feature scaling method for dimensionality reduction

Momo Matsuda, Keiichi Morikuni, Akira Imakura +2

Irregular features disrupt the desired classification. In this paper, we consider aggressively modifying scales of features in the original space according to the label information…

cs.LG2019★ 4 cited

Data collaboration analysis for distributed datasets

Akira Imakura, Tetsuya Sakurai

In this paper, we propose a data collaboration analysis method for distributed datasets. The proposed method is a centralized machine learning while training datasets and models re…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.