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Preferred Networks (Japan)

Japan

69 papers here2k citations across 69
fields
  • cs.CV12
  • cs.LG10
  • cs.RO10
  • cs.CL8
  • stat.ML5
  • cs.DS4
  • q-fin.CP4
  • cond-mat.mtrl-sci2
ROR 05xeefy56OpenAlex

affiliations via OpenAlex

output
20112026
most citedTowards Universal Neural Network Potential for Material Discovery Applicable to Arbitrary Combination of 45 Elements

450 citations

researchers with a paper here
  • Toru Ogawa2 profiles7 · h 10
  • Shunta Saito6 · h 10
  • Sosuke Kobayashi6 · h 15
  • Takuya Akiba6 · h 25
  • Yuichi Yoshida5 · h 32
  • Daisuke Okanohara2 profiles4 · h 14
  • Kei Nakagawa2 profiles4 · h 9
  • K. Takahashi4 · h 12
  • Shuji Suzuki4 · h 8
  • Yi Ouyang4 · h 9
  • Yusuke Niitani4 · h 5
  • C. Nabeshima3 · h 7
collaborating institutions
  • The University of TokyoJP19 papers
  • Kyoto UniversityJP6 papers
  • RIKEN Center for Advanced Intelligence ProjectJP5 papers
  • National Institute of InformaticsJP4 papers
  • RIKENJP3 papers
  • Tohoku UniversityJP3 papers
  • University of TsukubaJP3 papers
  • Johns Hopkins UniversityUS2 papers
  • Keio UniversityJP2 papers
  • Kobe UniversityJP2 papers
  • Massachusetts Institute of TechnologyUS2 papers
  • Nara Institute of Science and TechnologyJP2 papers
Showing 2018 · cs.ROShow all

1 paper · 2 filters

cs.RO2018★ 5 cited

Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images

Kuniyuki Takahashi, Jethro Tan

Estimation of tactile properties from vision, such as slipperiness or roughness, is important to effectively interact with the environment. These tactile properties help us decide…

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