| 2008 |
|---|
| 141 | EE | Shun-ichi Amari:
Information Geometry and Its Applications: Convex Function and Dually Flat Manifold.
ETVC 2008: 75-102 |
| 140 | EE | Naoki Masuda,
Shun-ichi Amari:
A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning.
Journal of Computational Neuroscience 24(2): 137-156 (2008) |
| 139 | EE | Haikun Wei,
Jun Zhang,
Florent Cousseau,
Tomoko Ozeki,
Shun-ichi Amari:
Dynamics of Learning Near Singularities in Layered Networks.
Neural Computation 20(3): 813-843 (2008) |
| 138 | EE | Si Wu,
Kosuke Hamaguchi,
Shun-ichi Amari:
Dynamics and Computation of Continuous Attractors.
Neural Computation 20(4): 994-1025 (2008) |
| 137 | EE | Kukjin Kang,
Shun-ichi Amari:
Discrimination with Spike Times and ISI Distributions.
Neural Computation 20(6): 1411-1426 (2008) |
| 136 | EE | Haikun Wei,
Shun-ichi Amari:
Dynamics of learning near singularities in radial basis function networks.
Neural Networks 21(7): 989-1005 (2008) |
| 2007 |
|---|
| 135 | EE | Andrzej Cichocki,
Rafal Zdunek,
Shun-ichi Amari:
Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization.
ICA 2007: 169-176 |
| 134 | EE | Andrzej Cichocki,
Rafal Zdunek,
Seungjin Choi,
Robert J. Plemmons,
Shun-ichi Amari:
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints.
ICANNGA (2) 2007: 271-280 |
| 133 | EE | Andrzej Cichocki,
Marko Jankovic,
Rafal Zdunek,
Shun-ichi Amari:
Sparse Super Symmetric Tensor Factorization.
ICONIP (1) 2007: 781-790 |
| 132 | EE | Haikun Wei,
Shun-ichi Amari:
Eigenvalue Analysis on Singularity in RBF networks.
IJCNN 2007: 690-695 |
| 131 | EE | Si Wu,
Kosuke Hamaguchi,
Shun-ichi Amari:
The Tracking Speed of Continuous Attractors.
ISNN (1) 2007: 926-934 |
| 130 | EE | Abd-Krim Seghouane,
Shun-ichi Amari:
The AIC Criterion and Symmetrizing the Kullback-Leibler Divergence.
IEEE Transactions on Neural Networks 18(1): 97-106 (2007) |
| 129 | EE | Shun-ichi Amari:
Integration of Stochastic Models by Minimizing alpha-Divergence.
Neural Computation 19(10): 2780-2796 (2007) |
| 2006 |
|---|
| 128 | EE | Jinwen Ma,
Dengpan Gao,
Fei Ge,
Shun-ichi Amari:
A One-Bit-Matching Learning Algorithm for Independent Component Analysis.
ICA 2006: 173-180 |
| 127 | EE | Andrzej Cichocki,
Rafal Zdunek,
Shun-ichi Amari:
Csiszár's Divergences for Non-negative Matrix Factorization: Family of New Algorithms.
ICA 2006: 32-39 |
| 126 | EE | Yuanqing Li,
Andrzej Cichocki,
Shun-ichi Amari,
Cuntai Guan:
Analysis of Source Sparsity and Recoverability for SCA Based Blind Source Separation.
ICA 2006: 831-837 |
| 125 | EE | Jinwen Ma,
Zhe Chen,
Shun-ichi Amari:
Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching Condition.
ICA 2006: 838-845 |
| 124 | EE | Andrzej Cichocki,
Shun-ichi Amari,
Rafal Zdunek,
Raul Kompass,
Gen Hori,
Zhaoshui He:
Extended SMART Algorithms for Non-negative Matrix Factorization .
ICAISC 2006: 548-562 |
| 123 | EE | Haikun Wei,
Shun-ichi Amari:
Online Learning Dynamics of Radial Basis Function Neural Networks near the Singularity.
IJCNN 2006: 4770-4776 |
| 122 | EE | Si Wu,
Jianfeng Feng,
Shun-ichi Amari:
The Ideal Noisy Environment for Fast Neural Computation.
ISNN (1) 2006: 1-6 |
| 121 | EE | Yuanqing Li,
Shun-ichi Amari,
Andrzej Cichocki,
Cuntai Guan:
Probability Estimation for Recoverability Analysis of Blind Source Separation Based on Sparse Representation.
IEEE Transactions on Information Theory 52(7): 3139-3152 (2006) |
| 120 | EE | Yuanqing Li,
Andrzej Cichocki,
Shun-ichi Amari:
Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach.
IEEE Transactions on Neural Networks 17(2): 419-431 (2006) |
| 119 | EE | Hongtao Lu,
Shun-ichi Amari:
Global Exponential Stability of Multitime Scale Competitive Neural Networks With Nonsmooth Functions.
IEEE Transactions on Neural Networks 17(5): 1152-1164 (2006) |
| 118 | EE | Yuanqing Li,
Shun-ichi Amari,
Andrzej Cichocki,
Daniel W. C. Ho,
Shengli Xie:
Underdetermined blind source separation based on sparse representation.
IEEE Transactions on Signal Processing 54(2): 423-437 (2006) |
| 117 | EE | Keiji Miura,
Masato Okada,
Shun-ichi Amari:
Estimating Spiking Irregularities Under Changing Environments.
Neural Computation 18(10): 2359-2386 (2006) |
| 116 | EE | Hiroyuki Nakahara,
Shun-ichi Amari,
Barry J. Richmond:
A Comparison of Descriptive Models of a Single Spike Train by Information-Geometric Measure.
Neural Computation 18(3): 545-568 (2006) |
| 115 | EE | Shun-ichi Amari,
Hyeyoung Park,
Tomoko Ozeki:
Singularities Affect Dynamics of Learning in Neuromanifolds.
Neural Computation 18(5): 1007-1065 (2006) |
| 114 | EE | Shun-ichi Amari,
Hiroyuki Nakahara:
Correlation and Independence in the Neural Code.
Neural Computation 18(6): 1259-1267 (2006) |
| 2005 |
|---|
| 113 | EE | Shun-ichi Amari:
Population Coding, Bayesian Inference and Information Geometry.
ISNN (1) 2005: 1-4 |
| 112 | EE | Naoki Masuda,
Shun-ichi Amari:
Modeling Memory Transfer and Saving in Cerebellar Motor Learning.
NIPS 2005 |
| 111 | EE | Keiji Miura,
Masato Okada,
Shun-ichi Amari:
Unbiased Estimator of Shape Parameter for Spiking Irregularities under Changing Environments.
NIPS 2005 |
| 110 | EE | Jun-ichi Takeuchi,
Shun-ichi Amari:
/spl alpha/-parallel prior and its properties.
IEEE Transactions on Information Theory 51(3): 1011-1023 (2005) |
| 109 | EE | Si Wu,
Shun-ichi Amari:
Computing with Continuous Attractors: Stability and Online Aspects.
Neural Computation 17(10): 2215-2239 (2005) |
| 108 | EE | Shun-ichi Amari,
Hiroyuki Nakahara:
Difficulty of Singularity in Population Coding.
Neural Computation 17(4): 839-858 (2005) |
| 107 | EE | Simone Fiori,
Shun-ichi Amari:
Geometrical methods in neural networks and learning.
Neurocomputing 67: 1-7 (2005) |
| 106 | EE | Shiro Ikeda,
Toshiyuki Tanaka,
Shun-ichi Amari:
Information geometry for turbo decoding.
Systems and Computers in Japan 36(1): 79-87 (2005) |
| 2004 |
|---|
| 105 | EE | Fabian J. Theis,
Shun-ichi Amari:
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources.
ICA 2004: 718-725 |
| 104 | | Andrzej Cichocki,
Yuanqing Li,
Pando G. Georgiev,
Shun-ichi Amari:
Beyond ICA: robust sparse signal representations.
ISCAS (5) 2004: 684-687 |
| 103 | | Shiro Ikeda,
Toshiyuki Tanaka,
Shun-ichi Amari:
Information Geometry of Turbo and Low-Density Parity-Check Codes.
IEEE Transactions on Information Theory 50(6): 1097-1114 (2004) |
| 102 | EE | Masato Inoue,
Shin-ichi Nishimura,
Gen Hori,
Hiroyuki Nakahara,
Michiko Saito,
Yoshihiro Yoshihara,
Shun-ichi Amari:
Improved Parameter Estimation for Variance-stabilizing Transformation of Gene-expression Microarray Data.
J. Bioinformatics and Computational Biology 2(4): 669-680 (2004) |
| 101 | EE | Hyeyoung Park,
Noboru Murata,
Shun-ichi Amari:
Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC.
Neural Computation 16(2): 355-382 (2004) |
| 100 | EE | Yuanqing Li,
Andrzej Cichocki,
Shun-ichi Amari:
Analysis of Sparse Representation and Blind Source Separation.
Neural Computation 16(6): 1193-1234 (2004) |
| 99 | EE | Shiro Ikeda,
Toshiyuki Tanaka,
Shun-ichi Amari:
Stochastic Reasoning, Free Energy, and Information Geometry.
Neural Computation 16(9): 1779-1810 (2004) |
| 98 | EE | Si Wu,
Shun-ichi Amari,
Hiroyuki Nakahara:
Information processing in a neuron ensemble with the multiplicative correlation structure.
Neural Networks 17(2): 205-214 (2004) |
| 97 | EE | Scott C. Douglas,
Shun-ichi Amari,
S.-Y. Kung:
Gradient Adaptive Paraunitary Filter Banks for Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution.
VLSI Signal Processing 37(2-3): 247-261 (2004) |
| 2003 |
|---|
| 96 | EE | Michiko Yamana,
Hiroyuki Nakahara,
Massimiliano Pontil,
Shun-ichi Amari:
On different ensembles of kernel machines.
ESANN 2003: 197-201 |
| 95 | EE | Yuanqing Li,
Andrzej Cichocki,
Shun-ichi Amari,
Sergei L. Shishkin,
Jianting Cao,
Fanji Gu:
Sparse Representation and Its Applications in Blind Source Separation.
NIPS 2003 |
| 94 | | Hiroyuki Nakahara,
Shin-ichi Nishimura,
Masato Inoue,
Gen Hori,
Shun-ichi Amari:
Gene Interaction in DNA Microarray Data Is Decomposed by Information Geometric Measure.
Bioinformatics 19(9): 1124-113 (2003) |
| 93 | EE | Te-Won Lee,
Jean-François Cardoso,
Erkki Oja,
Shun-ichi Amari:
Introduction to Special Issue on Independent Components Analysis.
Journal of Machine Learning Research 4: 1175-1176 (2003) |
| 92 | EE | Shun-ichi Amari,
Hiroyuki Nakahara,
Si Wu,
Yutaka Sakai:
Synchronous Firing and Higher-Order Interactions in Neuron Pool.
Neural Computation 15(1): 127-142 (2003) |
| 91 | EE | Sumio Watanabe,
Shun-ichi Amari:
Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities.
Neural Computation 15(5): 1013-1033 (2003) |
| 90 | EE | Si Wu,
Danmei Chen,
Mahesan Niranjan,
Shun-ichi Amari:
Sequential Bayesian Decoding with a Population of Neurons.
Neural Computation 15(5): 993-1012 (2003) |
| 89 | EE | Shun-ichi Amari,
Michael A. Arbib,
Rolf Kötter:
Neuroinformatics - Introduction.
Neural Networks 16(9): 1235-1236 (2003) |
| 88 | EE | Shun-ichi Amari,
Tomoko Ozeki,
Hyeyoung Park:
Learning and inference in hierarchical models with singularities.
Systems and Computers in Japan 34(7): 34-42 (2003) |
| 2002 |
|---|
| 87 | | Shun-ichi Amari:
Information Geometry of Neural Learning and Belief Propagation.
FSKD 2002: 4 |
| 86 | EE | Sumio Watanabe,
Shun-ichi Amari:
The Effect of Singularities in a Learning Machine when the True Parameters Do Not Lie on such Singularities.
NIPS 2002: 391-398 |
| 85 | EE | Kenji Fukumizu,
Shotaro Akaho,
Shun-ichi Amari:
Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting.
NIPS 2002: 865-872 |
| 84 | EE | Hiroyuki Nakahara,
Shun-ichi Amari:
Information-Geometric Measure for Neural Spikes.
Neural Computation 14(10): 2269-2316 (2002) |
| 83 | EE | Tianping Chen,
Wenlian Lu,
Shun-ichi Amari:
Global Convergence Rate of Recurrently Connected Neural Networks.
Neural Computation 14(12): 2947-2957 (2002) |
| 82 | EE | Hiroyuki Nakahara,
Shun-ichi Amari,
Okihide Hikosaka:
Self-Organization in the Basal Ganglia with Modulation of Reinforcement Signals.
Neural Computation 14(4): 819-844 (2002) |
| 81 | EE | Si Wu,
Shun-ichi Amari,
Hiroyuki Nakahara:
Population Coding and Decoding in a Neural Field: A Computational Study.
Neural Computation 14(5): 999-1026 (2002) |
| 80 | EE | Seungjin Choi,
Andrzej Cichocki,
Shun-ichi Amari:
Equivariant nonstationary source separation.
Neural Networks 15(1): 121-130 (2002) |
| 79 | EE | Hiroyuki Nakahara,
Shun-ichi Amari:
Attention modulation of neural tuning through peak and base rate in correlated firing.
Neural Networks 15(1): 41-55 (2002) |
| 78 | EE | Noboru Murata,
Motoaki Kawanabe,
Andreas Ziehe,
Klaus-Robert Müller,
Shun-ichi Amari:
On-line learning in changing environments with applications in supervised and unsupervised learning.
Neural Networks 15(4-6): 743-760 (2002) |
| 77 | | Si Wu,
Shun-ichi Amari:
Conformal Transformation of Kernel Functions A Data Dependent Way to Improve Support Vector Machine Classifiers.
Neural Processing Letters 15(1): 59-67 (2002) |
| 76 | EE | Si Wu,
Shun-ichi Amari,
Hiroyuki Nakahara:
Asymptotic behaviors of population codes.
Neurocomputing 44-46: 697-702 (2002) |
| 75 | EE | Shun-ichi Amari,
Aapo Hyvärinen,
Soo-Young Lee,
Te-Won Lee,
V. David Sánchez A.:
Blind signal separation and independent component analysis.
Neurocomputing 49(1-4): 1-5 (2002) |
| 74 | EE | Jianting Cao,
Noboru Murata,
Shun-ichi Amari,
Andrzej Cichocki,
Tsunehiro Takeda:
Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization.
Neurocomputing 49(1-4): 255-277 (2002) |
| 2001 |
|---|
| 73 | EE | Shun-ichi Amari,
Tomoko Ozeki,
Hyeyoung Park:
Generalization Error and Training Error at Singularities of Multilayer Perceptrons.
IWANN (1) 2001: 325-332 |
| 72 | EE | Sergio Cruces,
Andrzej Cichocki,
Shun-ichi Amari:
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction.
IWANN (2) 2001: 786-793 |
| 71 | EE | Liqing Zhang,
Shun-ichi Amari,
Andrzej Cichocki:
Equi-convergence Algorithm for Blind Separation of Sources with Arbitrary Distributions.
IWANN (2) 2001: 826-833 |
| 70 | EE | Hiroyuki Nakahara,
Shun-ichi Amari:
Information-Geometric Decomposition in Spike Analysis.
NIPS 2001: 253-260 |
| 69 | EE | Si Wu,
Shun-ichi Amari:
Neural Implementation of Bayesian Inference in Population Codes.
NIPS 2001: 317-323 |
| 68 | EE | Shun-ichi Amari,
Hyeyoung Park,
Tomoko Ozeki:
Geometrical Singularities in the Neuromanifold of Multilayer Perceptrons.
NIPS 2001: 343-350 |
| 67 | EE | Shiro Ikeda,
Toshiyuki Tanaka,
Shun-ichi Amari:
Information Geometrical Framework for Analyzing Belief Propagation Decoder.
NIPS 2001: 407-414 |
| 66 | EE | Toshiyuki Tanaka,
Shiro Ikeda,
Shun-ichi Amari:
Information-Geometrical Significance of Sparsity in Gallager Codes.
NIPS 2001: 527-534 |
| 65 | | Shun-ichi Amari:
Information geometry on hierarchy of probability distributions.
IEEE Transactions on Information Theory 47(5): 1701-1711 (2001) |
| 64 | | Tianping Chen,
Shun-ichi Amari:
Exponential Convergence of Delayed Dynamical Systems.
Neural Computation 13(3): 621-635 (2001) |
| 63 | | Si Wu,
Hiroyuki Nakahara,
Shun-ichi Amari:
Population Coding with Correlation and an Unfaithful Model.
Neural Computation 13(4): 775-797 (2001) |
| 62 | | Hiroyuki Nakahara,
Si Wu,
Shun-ichi Amari:
Attention Modulation of Neural Tuning Through Peak and Base Rate.
Neural Computation 13(9): 2031-2047 (2001) |
| 61 | EE | Tianping Chen,
Shun-ichi Amari:
Unified stabilization approach to principal and minor components extraction algorithms.
Neural Networks 14(10): 1377-1387 (2001) |
| 60 | EE | Tianping Chen,
Shun-ichi Amari:
New theorems on global convergence of some dynamical systems.
Neural Networks 14(3): 251-255 (2001) |
| 59 | | Tianping Chen,
Shun-ichi Amari,
Noboru Murata:
Sequential Extraction of Minor Components.
Neural Processing Letters 13(3): 195-201 (2001) |
| 58 | EE | Liqing Zhang,
Shun-ichi Amari,
Andrzej Cichocki:
Semiparametric model and superefficiency in blind deconvolution.
Signal Processing 81(12): 2535-2553 (2001) |
| 2000 |
|---|
| 57 | EE | Masumi Ishikawa,
Hirohito Shimada,
Shun-ichi Amari:
Iterative Design of Regularizers Based on Data by Minimizing Generalization Errors.
IJCNN (1) 2000: 3-8 |
| 56 | EE | Si Wu,
Danmei Chen,
Shun-ichi Amari:
Unfaithful Population Decoding.
IJCNN (2) 2000: 199-204 |
| 55 | | Hyeyoung Park,
Kenji Fukumizu,
Shun-ichi Amari,
Yillbyung Lee:
An Efficient Learning Algorithm Using Naturla Gradient and Second Order Information of Error Surface.
PRICAI 2000: 199-207 |
| 54 | | Shun-ichi Amari:
Information Geometry of Neural Networks.
PRICAI 2000: 2 |
| 53 | | Jun-ichi Takeuchi,
Naoki Abe,
Shun-ichi Amari:
The Lob-Pass Problem.
J. Comput. Syst. Sci. 61(3): 523-557 (2000) |
| 52 | | Shun-ichi Amari,
Hyeyoung Park,
Kenji Fukumizu:
Adaptive Method of Realizing Natural Gradient Learning for Multilayer Perceptrons.
Neural Computation 12(6): 1399-1409 (2000) |
| 51 | | Shun-ichi Amari,
Tianping Chen,
Andrzej Cichocki:
Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation.
Neural Computation 12(6): 1463-1484 (2000) |
| 50 | | Shun-ichi Amari:
Estimating Functions of Independent Component Analysis for Temporally Correlated Signals.
Neural Computation 12(9): 2083-2107 (2000) |
| 49 | EE | Kenji Fukumizu,
Shun-ichi Amari:
Local minima and plateaus in hierarchical structures of multilayer perceptrons.
Neural Networks 13(3): 317-327 (2000) |
| 48 | EE | Desire Bollé,
David Renato C. Dominguez-Carreta,
Shun-ichi Amari:
Mutual information of sparsely coded associative memory with self-control and ternary neurons.
Neural Networks 13(4-5): 455-462 (2000) |
| 47 | EE | Hyeyoung Park,
Shun-ichi Amari,
Kenji Fukumizu:
Adaptive natural gradient learning algorithms for various stochastic models.
Neural Networks 13(7): 755-764 (2000) |
| 46 | EE | Tianping Chen,
Shun-ichi Amari:
Dynamic behavior of the robust decorrelation process.
Neurocomputing 30(1-4): 143-151 (2000) |
| 45 | EE | Seungjin Choi,
Andrzej Cichocki,
Shun-ichi Amari:
Flexible Independent Component Analysis.
VLSI Signal Processing 26(1-2): 25-38 (2000) |
| 1999 |
|---|
| 44 | EE | Si Wu,
Hiroyuki Nakahara,
Noboru Murata,
Shun-ichi Amari:
Population Decoding Based on an Unfaithful Model.
NIPS 1999: 192-198 |
| 43 | EE | Liqing Zhang,
Shun-ichi Amari,
Andrzej Cichocki:
Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems
NIPS 1999: 363-369 |
| 42 | | Jayanta Basak,
Shun-ichi Amari:
Blind Separation of a Mixture of Uniformly Distributed Source Signals: A Novel Approach.
Neural Computation 11(4): 1011-1034 (1999) |
| 41 | | Shun-ichi Amari:
Natural Gradient Learning for Over- and Under-Complete Bases in ICA.
Neural Computation 11(8): 1875-1883 (1999) |
| 40 | EE | Tianping Chen,
Shun-ichi Amari:
Response.
Neural Networks 12(2): 395- (1999) |
| 39 | EE | Shun-ichi Amari,
Si Wu:
Improving support vector machine classifiers by modifying kernel functions.
Neural Networks 12(6): 783-789 (1999) |
| 1998 |
|---|
| 38 | | Shun-ichi Amari:
Information Geometry of Neuro-Manifolds.
ICONIP 1998: 591-593 |
| 37 | | Shun-ichi Amari:
Future Perspective of 'Creating Brain' Program.
ICONIP 1998: 7 |
| 36 | EE | Shiro Ikeda,
Shun-ichi Amari,
Hiroyuki Nakahara:
Convergence of the Wake-Sleep Algorithm.
NIPS 1998: 239-245 |
| 35 | | K. Hiraoka,
Shun-ichi Amari:
Strategy Under the Unknown Stochastic Environment: The Nonparametric Lob-Pass Problem.
Algorithmica 22(1/2): 138-156 (1998) |
| 34 | | Te Sun Han,
Shun-ichi Amari:
Statistical Inference Under Multiterminal Data Compression.
IEEE Transactions on Information Theory 44(6): 2300-2324 (1998) |
| 33 | EE | Mark Girolami,
Andrzej Cichocki,
Shun-ichi Amari:
A common neural-network model for unsupervised exploratory data analysis and independent component analysis.
IEEE Transactions on Neural Networks 9(6): 1495-1501 (1998) |
| 32 | | Shun-ichi Amari:
Natural Gradient Works Efficiently in Learning.
Neural Computation 10(2): 251-276 (1998) |
| 31 | | Howard Hua Yang,
Shun-ichi Amari:
Complexity Issues in Natural Gradient Descent Method for Training Multi-Layer Perceptrons.
Neural Computation 10(8): 2137-2157 (1998) |
| 30 | EE | Tianping Chen,
Shun-ichi Amari,
Qin Lin:
A unified algorithm for principal and minor components extraction.
Neural Networks 11(3): 385-390 (1998) |
| 29 | EE | Andrzej Cichocki,
Scott C. Douglas,
Shun-ichi Amari:
Robust techniques for independent component analysis (ICA) with noisy data.
Neurocomputing 22(1-3): 113-129 (1998) |
| 28 | EE | Lei Xu,
Chi Chiu Cheung,
Shun-ichi Amari:
Learned parametric mixture based ICA algorithm.
Neurocomputing 22(1-3): 69-80 (1998) |
| 1997 |
|---|
| 27 | | Lei Xu,
Chi Chiu Cheung,
Jiong Ruan,
Shun-ichi Amari:
Nonlinearity and separation capability: further justification for the ICA algorithm with mixture of densities.
ESANN 1997 |
| 26 | | Shun-ichi Amari,
Noboru Murata:
Statistical Analysis of Regularization Constant - From Bayes, MDL and NIC Points of View.
IWANN 1997: 284-293 |
| 25 | | Howard Hua Yang,
Shun-ichi Amari:
The Efficiency and the Robustness of Natural Gradient Descent Learning Rule.
NIPS 1997 |
| 24 | EE | Howard Hua Yang,
Shun-ichi Amari:
Adaptive On-line Learning Algorithms for Blind Separation-Maximization Entropy and Minimum Mutual Information.
Neural Computation 9(7): 1457-1482 (1997) |
| 23 | | Wlodzimierz Kasprzak,
Andrzej Cichocki,
Shun-ichi Amari:
Blind Source Separation with Convolutive Noise Cancellation.
Neural Computing and Applications 6(3): 127-141 (1997) |
| 22 | EE | Shun-ichi Amari,
Tianping Chen,
Andrzej Cichocki:
Stability Analysis of Learning Algorithms for Blind Source Separation.
Neural Networks 10(8): 1345-1351 (1997) |
| 1996 |
|---|
| 21 | | Howard Hua Yang,
Shun-ichi Amari:
Two Gradient Descent Algorithms for Blind Signal Separation.
ICANN 1996: 287-292 |
| 20 | EE | Shun-ichi Amari:
Neural Learning in Structured Parameter Spaces - Natural Riemannian Gradient.
NIPS 1996: 127-133 |
| 19 | EE | Noboru Murata,
Klaus-Robert Müller,
Andreas Ziehe,
Shun-ichi Amari:
Adaptive On-line Learning in Changing Environments.
NIPS 1996: 599-605 |
| 1995 |
|---|
| 18 | EE | Shun-ichi Amari:
Training Error, Generalization Error and Learning Curves in Neural Learning.
ANNES 1995: 4-5 |
| 17 | EE | Shun-ichi Amari,
Noboru Murata,
Klaus-Robert Müller,
M. Finke,
Howard Hua Yang:
Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective?
NIPS 1995: 176-182 |
| 16 | EE | Shun-ichi Amari,
Andrzej Cichocki,
Howard Hua Yang:
A New Learning Algorithm for Blind Signal Separation.
NIPS 1995: 757-763 |
| 15 | | Te Sun Han,
Shun-ichi Amari:
Parameter estimation with multiterminal data compression.
IEEE Transactions on Information Theory 41(6): 1802-1833 (1995) |
| 14 | EE | Shun-ichi Amari:
Information geometry of the EM and em algorithms for neural networks.
Neural Networks 8(9): 1379-1408 (1995) |
| 1993 |
|---|
| 13 | EE | Shun-ichi Amari:
A universal theorem on learning curves.
Neural Networks 6(2): 161-166 (1993) |
| 12 | EE | Shuji Yoshizawa,
Masahiko Morita,
Shun-ichi Amari:
Capacity of associative memory using a nonmonotonic neuron model.
Neural Networks 6(2): 167-176 (1993) |
| 11 | | Shun-ichi Amari:
Backpropagation and stochastic gradient descent method.
Neurocomputing 5(3): 185-196 (1993) |
| 1992 |
|---|
| 10 | EE | Noboru Murata,
Shuji Yoshizawa,
Shun-ichi Amari:
Learning Curves, Model Selection and Complexity of Neural Networks.
NIPS 1992: 607-614 |
| 9 | | Hisashi Ito,
Shun-ichi Amari,
Kingo Kobayashi:
Identifiability of hidden Markov information sources and their minimum degrees of freedom.
IEEE Transactions on Information Theory 38(2): 324-333 (1992) |
| 8 | EE | Shun-ichi Amari,
Stephen Grossberg,
John G. Taylor:
Editorial.
Neural Networks 5(1): 1- (1992) |
| 1991 |
|---|
| 7 | EE | Shun-ichi Amari:
Dualistic geometry of the manifold of higher-order neurons.
Neural Networks 4(4): 443-451 (1991) |
| 6 | | Shun-ichi Amari:
Mathematical Theory of Neural Learning.
New Generation Comput. 8(4): 281- (1991) |
| 1990 |
|---|
| 5 | | Shun-ichi Amari:
Mathematical Theory of Neural Learning.
ALT 1990: 3-20 |
| 1989 |
|---|
| 4 | | Shun-ichi Amari,
Te Sun Han:
Statistical inference under multiterminal rate restrictions: A differential geometric approach.
IEEE Transactions on Information Theory 35(2): 217-227 (1989) |
| 3 | EE | Shun-ichi Amari:
Characteristics of sparsely encoded associative memory.
Neural Networks 2(6): 451-457 (1989) |
| 1988 |
|---|
| 2 | EE | Shun-ichi Amari,
Kenjiro Maginu:
Statistical neurodynamics of associative memory.
Neural Networks 1(1): 63-73 (1988) |
| 1987 |
|---|
| 1 | | Shun-ichi Amari:
Differential Geometry of a Parametric Family of Invertible Linear Systems - Riemannian Metric, Dual Affine Connections, and Divergence.
Mathematical Systems Theory 20(1): 53-82 (1987) |
