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Cognizant (United States)

United States

16 papers here123 citations across 16
fields
  • cs.NE9
  • cs.LG3
  • cond-mat.mtrl-sci1
  • cs.AI1
  • cs.DC1
  • cs.HC1
ROR 036s7bw54OpenAlex

affiliations via OpenAlex

output
20162026
most citedLanguage Model Crossover: Variation through Few-Shot Prompting

63 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • R. Miikkulainen7 · h 65
  • Elliot Meyerson6 · h 18
  • H. Shahrzad3 · h 9
  • Risto Miikkulainen2 profiles3 · h 5
  • Daniel Young2 · h 1
  • Olivier Francon2 · h 4
  • Xin Qiu2 · h 8
  • A. Agarwal1 · h 4
  • Amy K. Hoover1 · h 20
  • Arash Moradi1 · h 2
  • Aswathnarayan Muthukrishnan Kirubakaran1 · h 3
  • Balakrishna Pothineni1 · h 4
collaborating institutions
  • The University of Texas at AustinUS9 papers
  • Cognizant (India)IN5 papers
  • Google (United States)US2 papers
  • American UniversityUS1 paper
  • Autodesk (United States)US1 paper
  • Bank IndonesiaID1 paper
  • Criteo (France)FR1 paper
  • Institut de Recherche en Informatique de ToulouseFR1 paper
  • Institute for Exercise and Environmental MedicineUS1 paper
  • Institute of Electrical and Electronics EngineersUS1 paper
  • Institut Polytechnique de BordeauxFR1 paper
  • Ludwig-Maximilians-Universität MünchenDE1 paper
Showing 2022Show all

1 paper · 1 filter

cs.NE2022★ 4 cited

Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings)

Elliot Meyerson, Xin Qiu, Risto Miikkulainen

This paper characterizes the inherent power of evolutionary algorithms. This power depends on the computational properties of the genetic encoding. With some encodings, two parents…

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