Amari, Shun-ichi

53 publications

ICLR 2021 When Does Preconditioning Help or Hurt Generalization? Shun-ichi Amari, Jimmy Ba, Roger Baker Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu

AISTATS 2019 Fisher Information and Natural Gradient Learning in Random Deep Networks Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi

AISTATS 2019 Interpolating Between Optimal Transport and MMD Using Sinkhorn Divergences Jean Feydy, Thibault Séjourné, François-Xavier Vialard, Shun-ichi Amari, Alain Trouve, Gabriel Peyré

NeurIPS 2019 The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks Ryo Karakida, Shotaro Akaho, Shun-ichi Amari

AISTATS 2019 Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach Ryo Karakida, Shotaro Akaho, Shun-ichi Amari

CVPR 2010 Total Bregman Divergence and Its Applications to Shape Retrieval Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen

NeurIPS 2005 Modeling Memory Transfer and Saving in Cerebellar Motor Learning Naoki Masuda, Shun-ichi Amari

NeurIPS 2005 Unbiased Estimator of Shape Parameter for Spiking Irregularities Under Changing Environments Keiji Miura, Masato Okada, Shun-ichi Amari

NeCo 2004 Analysis of Sparse Representation and Blind Source Separation Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari

NeCo 2004 Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC Hyeyoung Park, Noboru Murata, Shun-ichi Amari

NeCo 2004 Stochastic Reasoning, Free Energy, and Information Geometry Shiro Ikeda, Toshiyuki Tanaka, Shun-ichi Amari

NeCo 2003 Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities Sumio Watanabe, Shun-ichi Amari

NeCo 2003 Sequential Bayesian Decoding with a Population of Neurons Si Wu, Danmei Chen, Mahesan Niranjan, Shun-ichi Amari

NeurIPS 2003 Sparse Representation and Its Applications in Blind Source Separation Yuanqing Li, Shun-ichi Amari, Sergei Shishkin, Jianting Cao, Fanji Gu, Andrzej S. Cichocki

NeCo 2003 Synchronous Firing and Higher-Order Interactions in Neuron Pool Shun-ichi Amari, Hiroyuki Nakahara, Si Wu, Yutaka Sakai

NeurIPS 2002 Critical Lines in Symmetry of Mixture Models and Its Application to Component Splitting Kenji Fukumizu, Shotaro Akaho, Shun-ichi Amari

NeCo 2002 Global Convergence Rate of Recurrently Connected Neural Networks Tianping Chen, Wenlian Lu, Shun-ichi Amari

NeCo 2002 Information-Geometric Measure for Neural Spikes Hiroyuki Nakahara, Shun-ichi Amari

NeCo 2002 Population Coding and Decoding in a Neural Field: A Computational Study Si Wu, Shun-ichi Amari, Hiroyuki Nakahara

NeCo 2002 Self-Organization in the Basal Ganglia with Modulation of Reinforcement Signals Hiroyuki Nakahara, Shun-ichi Amari, Okihide Hikosaka

NeurIPS 2002 The Effect of Singularities in a Learning Machine When the True Parameters Do Not Lie on Such Singularities Sumio Watanabe, Shun-ichi Amari

NeCo 2001 Attention Modulation of Neural Tuning Through Peak and Base Rate Hiroyuki Nakahara, Si Wu, Shun-ichi Amari

NeCo 2001 Exponential Convergence of Delayed Dynamical Systems Tianping Chen, Shun-ichi Amari

NeurIPS 2001 Geometrical Singularities in the Neuromanifold of Multilayer Perceptrons Shun-ichi Amari, Hyeyoung Park, Tomoko Ozeki

NeurIPS 2001 Information Geometrical Framework for Analyzing Belief Propagation Decoder Shiro Ikeda, Toshiyuki Tanaka, Shun-ichi Amari

NeurIPS 2001 Information-Geometric Decomposition in Spike Analysis Hiroyuki Nakahara, Shun-ichi Amari

NeurIPS 2001 Information-Geometrical Significance of Sparsity in Gallager Codes Toshiyuki Tanaka, Shiro Ikeda, Shun-ichi Amari

NeurIPS 2001 Neural Implementation of Bayesian Inference in Population Codes Si Wu, Shun-ichi Amari

NeCo 2001 Population Coding with Correlation and an Unfaithful Model Si Wu, Hiroyuki Nakahara, Shun-ichi Amari

NeCo 2000 Adaptive Method of Realizing Natural Gradient Learning for Multilayer Perceptrons Shun-ichi Amari, Hyeyoung Park, Kenji Fukumizu

NeCo 2000 Estimating Functions of Independent Component Analysis for Temporally Correlated Signals Shun-ichi Amari

NeCo 2000 Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation Shun-ichi Amari, Tianping Chen, Andrzej Cichocki

NeCo 1999 Blind Separation of a Mixture of Uniformly Distributed Source Signals: A Novel Approach Jayanta Basak, Shun-ichi Amari

NeCo 1999 Natural Gradient Learning for Over- and Under-Complete Bases in ICA Shun-ichi Amari

NeurIPS 1999 Population Decoding Based on an Unfaithful Model Si Wu, Hiroyuki Nakahara, Noboru Murata, Shun-ichi Amari

NeurIPS 1999 Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki

NeCo 1998 Complexity Issues in Natural Gradient Descent Method for Training Multi-Layer Perceptrons Howard Hua Yang, Shun-ichi Amari

NeurIPS 1998 Convergence of the Wake-Sleep Algorithm Shiro Ikeda, Shun-ichi Amari, Hiroyuki Nakahara

NeCo 1998 Natural Gradient Works Efficiently in Learning Shun-ichi Amari

NeCo 1997 Adaptive On-Line Learning Algorithms for Blind Separation-Maximization Entropy and Minimum Mutual Information Howard Hua Yang, Shun-ichi Amari

NeurIPS 1997 The Efficiency and the Robustness of Natural Gradient Descent Learning Rule Howard Hua Yang, Shun-ichi Amari

NeCo 1996 A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks Klaus-Robert Müller, Michael Finke, Noboru Murata, Klaus Schulten, Shun-ichi Amari

NeurIPS 1996 Adaptive On-Line Learning in Changing Environments Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari

NeurIPS 1996 Neural Learning in Structured Parameter Spaces - Natural Riemannian Gradient Shun-ichi Amari

NeurIPS 1995 A New Learning Algorithm for Blind Signal Separation Shun-ichi Amari, Andrzej Cichocki, Howard Hua Yang

NeurIPS 1995 Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang

NeCo 1995 The EM Algorithm and Information Geometry in Neural Network Learning Shun-ichi Amari

NeCo 1994 Estimation of Network Parameters in Semiparametric Stochastic Perceptron Motoaki Kawanabe, Shun-ichi Amari

NeCo 1993 Statistical Theory of Learning Curves Under Entropic Loss Criterion Shun-ichi Amari, Noboru Murata

NeCo 1992 Four Types of Learning Curves Shun-ichi Amari, Naotake Fujita, Shigeru Shinomoto

NeurIPS 1992 Learning Curves, Model Selection and Complexity of Neural Networks Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari

ALT 1990 Mathematical Theory of Neural Learning Shun-ichi Amari

IJCAI 1979 Theory of Self-Organizing Nerve Nets with Special Reference to Association and Concept Formation Shun-ichi Amari