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ENTROPY-REGULARIZED OPTIMAL TRANSPORT GENERATIVE MODELS
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-0737-2531
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0003-2638-6047
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0001-7182-9543
2019 (English)In: 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), IEEE , 2019, p. 3532-3536Conference paper, Published paper (Refereed)
Abstract [en]

We investigate the use of entropy-regularized optimal transport (EOT) cost in developing generative models to learn implicit distributions. Two generative models are proposed. One uses EOT cost directly in an one-shot optimization problem and the other uses EOT cost iteratively in an adversarial game. The proposed generative models show improved performance over contemporary models on scores of sample based test.

Place, publisher, year, edition, pages
IEEE , 2019. p. 3532-3536
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keywords [en]
Optimal transport, generative models
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-261047DOI: 10.1109/ICASSP.2019.8682721ISI: 000482554003151Scopus ID: 2-s2.0-85068999197ISBN: 978-1-4799-8131-1 (print)OAI: oai:DiVA.org:kth-261047DiVA, id: diva2:1356372
Conference
44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), MAY 12-17, 2019, Brighton, ENGLAND
Note

QC 20191001

Available from: 2019-10-01 Created: 2019-10-01 Last updated: 2019-10-01Bibliographically approved

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Authority records BETA

Liu, DongVu, Minh ThànhChatterjee, SaikatRasmussen, Lars Kildehöj

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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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More styles
Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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