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Samsung (United Kingdom)

United Kingdom

43 papers here540 citations across 43
fields
  • cs.CV14
  • cs.LG8
  • cs.NI5
  • eess.SP5
  • cs.IT4
  • eess.AS2
  • cs.AI1
  • cs.CR1
ROR 01w6gjq94OpenAlex

affiliations via OpenAlex

output
20162026
most citedTurbo Autoencoder: Deep learning based channel codes for point-to-point communication channels

84 citations

researchers with a paper here
  • Stylianos I. Venieris2 profiles6 · h 20
  • N. Lane3 profiles5 · h 62
  • Adrian Bulat4 · h 32
  • D. Mi4 · h 20
  • Georgios Tzimiropoulos4 · h 48
  • P. Xiao4 · h 46
  • B. Mouhouche3 · h 11
  • Da Li3 · h 17
  • Hongzhi Chen3 · h 9
  • I. Venieris3 · h 25
  • M. Pantic3 · h 97
  • R. Tafazolli3 · h 63
collaborating institutions
  • University of SurreyGB8 papers
  • University of CambridgeGB5 papers
  • Samsung (South Korea)KR4 papers
  • Imperial College LondonGB3 papers
  • National Technical University of AthensGR3 papers
  • University of OxfordGB3 papers
  • Ericsson (Sweden)SE2 papers
  • Huawei Technologies (Germany)DE2 papers
  • IFlyTek (China)2 papers
  • Intel (Germany)DE2 papers
  • Laboratoire Informatique d'AvignonFR2 papers
  • Nokia (Finland)FI2 papers
Showing 2020 · eess.SPShow all

1 paper · 2 filters

eess.SP2020★ 1 cited

The Final Frontier: Deep Learning in Space

Vivek Kothari, Edgar Liberis, Nicholas D. Lane

Machine learning, particularly deep learning, is being increasing utilised in space applications, mirroring the groundbreaking success in many earthbound problems. Deploying a spac…

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