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Hoya (Japan)

Japan

23 papers here120 citations across 23
fields
  • cs.AI4
  • cond-mat.stat-mech3
  • cs.CV3
  • cs.LG2
  • cs.NE2
  • gr-qc2
  • q-bio.NC2
  • cond-mat.dis-nn1
ROR 049vpfq31OpenAlex

affiliations via OpenAlex

output
20182026
most citedSystem Integrated Information

21 citations

researchers with a paper here
  • P. Morales7 · h 5
  • F. Rosas3 · h 26
  • Jia Xu3 · h 17
  • K. Arulkumaran3 · h 16
  • Martin Biehl3 · h 10
  • P. Copinger3 · h 6
  • R. Kanai3 · h 58
  • Irwin King2 · h 78
  • Jan Korbel2 · h 7
  • L. Soros2 · h 10
  • Michael R. Lyu2 · h 105
  • Pengpeng Liu2 · h 7
collaborating institutions
  • Araya Inc. (Japan)JP8 papers
  • Imperial College LondonGB7 papers
  • University of SussexGB4 papers
  • Kyoto UniversityJP3 papers
  • Centre National de la Recherche ScientifiqueFR2 papers
  • Chinese University of Hong KongHK2 papers
  • Cross Compass (Japan)JP2 papers
  • Hokkaido UniversityJP2 papers
  • Institute of Physics, Academia SinicaTW2 papers
  • Medical University of ViennaAT2 papers
  • NEC (Japan)JP2 papers
  • The University of TokyoJP2 papers
Showing cs.NEShow all

2 papers · 1 filter

cs.NE2022★ 9 cited

Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms

Roberto Gallotta, Kai Arulkumaran, L. B. Soros

In mixed-initiative co-creation tasks, wherein a human and a machine jointly create items, it is important to provide multiple relevant suggestions to the designer. Quality-diversi…

cs.NE2022★ 7 cited

Surrogate Infeasible Fitness Acquirement FI-2Pop for Procedural Content Generation

Roberto Gallotta, Kai Arulkumaran, L. B. Soros

When generating content for video games using procedural content generation (PCG), the goal is to create functional assets of high quality. Prior work has commonly leveraged the fe…

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