Presentation 2017-09-16
[Invited Talk] Transportation aspect of deep neural network
Sho Sonoda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) What is happening in deep neural networks? In this talk, we formulate them as transport maps. From the transportation viewpoint, we can identify a deep neural network with trajectories on both the Euclidean and Wasserstein spaces. We derive the transport map of denoising autoencoders (DAEs) in an analytic form. We can understand that what deep networks do is to transport mass to decrease a certain potential functional of the data distribution.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) deep neural network / transport map / continuity equation / Wasserstein gradient flow / denoising autoencoder
Paper # PRMU2017-60,IBISML2017-32
Date of Issue 2017-09-08 (PRMU, IBISML)

Conference Information
Committee PRMU / IBISML / IPSJ-CVIM
Conference Date 2017/9/15(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Shinichi Sato(NII) / Kenji Fukumizu(ISM)
Vice Chair Hironobu Fujiyoshi(Chubu Univ.) / Yoshihisa Ijiri(Omron) / Masashi Sugiyama(Univ. of Tokyo)
Secretary Hironobu Fujiyoshi(AIST) / Yoshihisa Ijiri(NAIST) / Masashi Sugiyama(Kyoto Univ.) / (Univ. of Tokyo)
Assistant Masato Ishii(NEC) / Yusuke Sugano(Osaka Univ.) / Ichiro Takeuchi(Nagoya Inst. of Tech.) / Toshihiro Kamishima(AIST)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Computer Vision and Image Media
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] Transportation aspect of deep neural network
Sub Title (in English)
Keyword(1) deep neural network
Keyword(2) transport map
Keyword(3) continuity equation
Keyword(4) Wasserstein gradient flow
Keyword(5) denoising autoencoder
1st Author's Name Sho Sonoda
1st Author's Affiliation Waseda University(Waseda Univ.)
Date 2017-09-16
Paper # PRMU2017-60,IBISML2017-32
Volume (vol) vol.117
Number (no) PRMU-210,IBISML-211
Page pp.pp.185-188(PRMU), pp.185-188(IBISML),
#Pages 4
Date of Issue 2017-09-08 (PRMU, IBISML)