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Digital Scientific (United Kingdom)

United Kingdom

4 papers here952 citations across 4
fields
  • cond-mat.stat-mech1
  • cs.IR1
  • math.ST1
  • physics.chem-ph1
ROR 01b4ex890OpenAlex

affiliations via OpenAlex

output
20132021
most citedCombining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems

876 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.

  • Bingqing Cheng2 · h 24
  • Adrien Guille1 · h 10
  • Antoine Gourru1 · h 8
  • A. Reinhardt1 · h 22
  • A. Tkatchenko1 · h 82
  • D. Ginsbourger1 · h 34
  • John A. Keith1 · h 36
  • Julien Velcin1 · h 13
  • Klaus-Robert Müller1 · h 6
  • M. Gastegger1 · h 27
  • N. Durrande1 · h 19
  • Olivier Roustant1 · h 22
collaborating institutions
  • Brain (Germany)DE1 paper
  • Department for EducationGB1 paper
  • Entrepôts, Représentation et Ingénierie des ConnaissancesFR1 paper
  • Korea UniversityKR1 paper
  • Max Planck Institute for InformaticsDE1 paper
  • Mines Saint-ÉtienneFR1 paper
  • Technische Universität BerlinDE1 paper
  • Thomson FoundationGB1 paper
  • University of CambridgeGB1 paper
  • University of LuxembourgLU1 paper
  • University of PittsburghUS1 paper
Showing math.STShow all

1 paper · 1 filter

math.ST2013★ 3 cited

Invariances of random fields paths, with applications in Gaussian Process Regression

David Ginsbourger, Olivier Roustant, Nicolas Durrande

We study pathwise invariances of centred random fields that can be controlled through the covariance. A result involving composition operators is obtained in second-order settings,…

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