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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo Statistical Mechanical Analysis of Learning with Two-Layer Perceptron with Multiple Output Units -- Reconsidering Plateau Phenomenon --
Yuki Yoshida (UTokyo), Ryo Karakida (AIST), Masato Okada (UTokyo/AIST/RIKEN BSI), Shun-ichi Amari (RIKEN BSI) IBISML2017-83
The plateau phenomenon --- stopping decrease of error in the middle of learning --- is problematic.
Since Amari et al. ... [more]
IBISML2017-83
pp.347-354
IBISML 2016-11-16
15:00
Kyoto Kyoto Univ. Statistical Mechanical Analysis of Fast Online Learning with Weight Normalization
Yuki Yoshida, Ryo Karakida, Masato Okada (UTokyo), Shun-ichi Amari (RIKEN) IBISML2016-60
Weight normalization (WN), a newly developed optimization algorithm for neural networks by Salimans & Kingma(2016), fact... [more] IBISML2016-60
pp.101-108
EA 2012-12-13
13:00
Tokyo National Institute of Informatics [Invited Talk] From Independent Component Analysis, to Nonnegative Matrix Factorization and Sparse Signal Analysis
Shun-ichi Amari (RIKEN) EA2012-109
Independent Component Analysis was proposed by Jutten and Herault around
1985 in France, and it became an active area o... [more]
EA2012-109
pp.1-4
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