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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
MBE, NC
(Joint)		 2016-03-23
14:00		 Tokyo Tamagawa University External Input Response of Neural Network Model with Irregular Spontaneous Activity
Yoshihiro Nagano, Ryo Karakida (UTokyo), Norifumi Watanabe (TUT), Atsushi Aoyama (Keio Univ), Masato Okada (UTokyo) NC2015-85		 The previous studies have reported that the neural network model with connections following a lognormal distribution rep... [more] NC2015-85
pp.89-94
NC, MBE
(Joint)		 2014-03-18
10:20		 Tokyo Tamagawa University Theory of firing distribution with common noise originating from synaptic connectivity
Ryo Karakida, Yasuhiko Igarashi, Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. Tokyo/RIKEN) NC2013-103		 Common noise is a correlated noise input shared by multiple neurons. Biological experiments have shown that the common n... [more] NC2013-103
pp.85-90
MBE, NC
(Joint)		 2012-11-17
13:55		 Miyagi Tohoku University Inter-layer correlation in a feed-forward network with intra-layer common noise
Ryo Karakida, Yasuhiko Igarashi (Univ. of Tokyo), Kenji Nagata (Univ. Tokyo), Masato Okada (Univ. Tokyo/RIKEN) NC2012-69		 Intra-layer common noise leads to the synchronous firing of neurons in a feed-forward network.
The synchronous firing ... [more]		 NC2012-69
pp.45-50
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