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NEC (Japan)

Japan

87 papers here8.8k citations across 87
fields
  • quant-ph26
  • cond-mat.supr-con13
  • cond-mat.mes-hall11
  • cond-mat.mtrl-sci6
  • cs.CV6
  • cs.LG6
  • eess.AS3
  • cs.AI2
ROR 04jndar25OpenAlex

affiliations via OpenAlex

output
20032024
most citedQuantum Computing

3.6k citations

researchers with a paper here
  • Yasunobu Nakamura2 profiles17 · h 59
  • J. Tsai2 profiles11 · h 46
  • S. Ishizaka10 · h 16
  • Tsuyoshi Yamamoto3 profiles8 · h 23
  • A. Niskanen6 · h 19
  • K. Inomata2 profiles6 · h 26
  • O. Astafiev6 · h 32
  • Y. Pashkin6 · h 30
  • A. Tomita5 · h 38
  • A. Cleland4 · h 66
  • A. O'Connell4 · h 25
  • D. Sank4 · h 80
collaborating institutions
  • Japan Science and Technology AgencyJP16 papers
  • RIKENJP15 papers
  • The University of TokyoJP15 papers
  • VTT Technical Research Centre of FinlandFI6 papers
  • Tohoku UniversityJP5 papers
  • Massachusetts Institute of TechnologyUS4 papers
  • MIT Lincoln LaboratoryUS4 papers
  • National Institute of Advanced Industrial Science and TechnologyJP4 papers
  • NEC (United States)US4 papers
  • RIKEN Advanced Science InstituteJP4 papers
  • RIKEN Center for Emergent Matter ScienceJP4 papers
  • University of California, Santa BarbaraUS4 papers
Showing 2017Show all

1 paper · 1 filter

cs.AI2017

Distributed Bayesian Piecewise Sparse Linear Models

Masato Asahara, Ryohei Fujimaki

The importance of interpretability of machine learning models has been increasing due to emerging enterprise predictive analytics, threat of data privacy, accountability of artific…

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