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Télécom SudParis

France

37 papers here651 citations across 37
fields
  • cs.NI12
  • cs.CR4
  • eess.SP4
  • math.ST4
  • q-bio.QM3
  • stat.CO2
  • cs.AI1
  • cs.CV1
ROR 05xvk4r52OpenAlex

affiliations via OpenAlex

output
20072020
most citedAdaptive Importance Sampling in General Mixture Classes

208 citations

researchers with a paper here
  • Joaquín García2 profiles3 · h 24
  • R. Douc3 · h 28
  • Vincent Gauthier2 profiles3 · h 19
  • Aurélien Garivier2 profiles2 · h 28
  • Aymen Jaziri2
  • D. Zeghlache2 · h 29
  • Hossam Afifi2
  • Jimmy Olsson2 profiles2 · h 6
  • N. Crespi2 · h 41
  • Randal Douc2
  • Ridha Nasri2
  • Tijani Chahed2
collaborating institutions
  • Institut Polytechnique de ParisFR24 papers
  • Centre National de la Recherche ScientifiqueFR18 papers
  • Services répartis, Architectures, MOdélisation, Validation, Administration des RéseauxFR12 papers
  • Institut Mines-TélécomFR7 papers
  • Laboratoire Traitement et Communication de l’InformationFR6 papers
  • Télécom ParisFR5 papers
  • Orange (France)FR3 papers
  • Strateji Araşdırmalar MərkəziAZ2 papers
  • CEA Paris-SaclayFR1 paper
  • Centrale MéditerranéeFR1 paper
  • Centre de Recherche en Économie et StatistiqueFR1 paper
  • Centre de Recherche en Mathématiques de la DécisionFR1 paper
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2020★ 13 cited

Combining Federated and Active Learning for Communication-efficient Distributed Failure Prediction in Aeronautics

Nicolas Aussel, Sophie Chabridon, Yohan Petetin

Machine Learning has proven useful in the recent years as a way to achieve failure prediction for industrial systems. However, the high computational resources necessary to run lea…

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