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CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction.
Dai, Xili; Tong, Shengbang; Li, Mingyang; Wu, Ziyang; Psenka, Michael; Chan, Kwan Ho Ryan; Zhai, Pengyuan; Yu, Yaodong; Yuan, Xiaojun; Shum, Heung-Yeung; Ma, Yi.
Afiliação
  • Dai X; Department of EECS, University of California Berkeley, Berkeley, CA 94720, USA.
  • Tong S; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610056, China.
  • Li M; Department of EECS, University of California Berkeley, Berkeley, CA 94720, USA.
  • Wu Z; Tsinghua-Berkeley Shenzhen Institute, Shenzhen 518055, China.
  • Psenka M; International Digital Economy Academy, Shenzhen 518048, China.
  • Chan KHR; Department of EECS, University of California Berkeley, Berkeley, CA 94720, USA.
  • Zhai P; Mathematical Institute for Data Science, Johns Hopkins University, Baltimore, MD 21218, USA.
  • Yu Y; Institute for Applied Computational Science, Harvard University, Cambridge, MA 02138, USA.
  • Yuan X; Department of EECS, University of California Berkeley, Berkeley, CA 94720, USA.
  • Shum HY; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610056, China.
  • Ma Y; International Digital Economy Academy, Shenzhen 518048, China.
Entropy (Basel) ; 24(4)2022 Mar 25.
Article em En | MEDLINE | ID: mdl-35455120
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article