Presentation 2020-03-26
Generative Adversarial Networks Handling Multiple Distances between Probability Distributions
Shinya Hidai, Hidehiro Nakano, Arata Miyauchi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Generative Adversarial Networks (GAN) are trained by alternately training two networks. Discriminator estimates the distance between the probability distribution estimated by the Generator and the distribution of data to be trained, and Generator estimates the distance between the distributions estimated by the Discriminator. In this research, we propose an extended GAN that integrates GANs with different properties of the distance between distributions and that is independent of the properties of the distance between distributions. The proposed method is verified by estimating the mixture distribution in two-dimensional space.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Generative Adversarial Networks / probability distribution
Paper # CCS2019-39
Date of Issue 2020-03-18 (CCS)

Conference Information
Committee CCS
Conference Date 2020/3/25(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Hosei Univ. Ichigaya Campus
Topics (in Japanese) (See Japanese page)
Topics (in English) Natural Computing, etc.
Chair Makoto Naruse(NICT)
Vice Chair Shigeki Shiokawa(Kanagawa Inst. of Tech.) / Tetsuya Asai(Hokkaido Univ.)
Secretary Shigeki Shiokawa(Hiroshima City Univ.) / Tetsuya Asai(Kanagawa Inst. of Tech.)
Assistant Hidehiro Nakano(Tokyo City Univ.) / Kazuki Nakada(Tsukuba Univ. of Tech.) / Hiroyasu Ando(Tsukuba Univ.) / Takashi Matsubara(Kobe Univ.)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Generative Adversarial Networks Handling Multiple Distances between Probability Distributions
Sub Title (in English)
Keyword(1) Generative Adversarial Networks
Keyword(2) probability distribution
1st Author's Name Shinya Hidai
1st Author's Affiliation Tokyo City University(Tokyo City Univ.)
2nd Author's Name Hidehiro Nakano
2nd Author's Affiliation Tokyo City University(Tokyo City Univ.)
3rd Author's Name Arata Miyauchi
3rd Author's Affiliation Tokyo City University(Tokyo City Univ.)
Date 2020-03-26
Paper # CCS2019-39
Volume (vol) vol.119
Number (no) CCS-485
Page pp.pp.21-24(CCS),
#Pages 4
Date of Issue 2020-03-18 (CCS)