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Shun-ichi Amari
Person information
- affiliation: RIKEN CBS, Wako-shi, Japan
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Books and Theses
- 2009
- [b2]Andrzej Cichocki
, Rafal Zdunek
, Anh Huy Phan
, Shun-ichi Amari:
Nonnegative Matrix and Tensor Factorizations - Applications to Exploratory Multi-way Data Analysis and Blind Source Separation. Wiley 2009, ISBN 978-0-470-74666-0 - 2002
- [b1]Andrzej Cichocki, Shun-ichi Amari:
Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications. Wiley 2002, ISBN 978-0-471-60791-5, pp. I-XXXI, 1-554
Journal Articles
- 2023
- [j172]Kaito Watanabe
, Kotaro Sakamoto, Ryo Karakida, Sho Sonoda, Shun-ichi Amari:
Deep learning in random neural fields: Numerical experiments via neural tangent kernel. Neural Networks 160: 148-163 (2023) - 2021
- [j171]Ryo Karakida, Shotaro Akaho
, Shun-ichi Amari:
Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks. Neural Comput. 33(8): 2274-2307 (2021) - 2020
- [j170]Shun-ichi Amari:
Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective. Neural Comput. 32(8): 1431-1447 (2020) - 2019
- [j169]Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi, Marco Cuturi:
Information Geometry for Regularized Optimal Transport and Barycenters of Patterns. Neural Comput. 31(5): 827-848 (2019) - 2018
- [j168]Shun-ichi Amari, Tomoko Ozeki, Ryo Karakida, Yuki Yoshida, Masato Okada:
Dynamics of Learning in MLP: Natural Gradient and Singularity Revisited. Neural Comput. 30(1) (2018) - [j167]Lei Zhang, Zhang Yi
, Shun-ichi Amari
:
Theoretical Study of Oscillator Neurons in Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5242-5248 (2018) - 2016
- [j166]Ryo Karakida, Masato Okada, Shun-ichi Amari:
Dynamical analysis of contrastive divergence learning: Restricted Boltzmann machines with Gaussian visible units. Neural Networks 79: 78-87 (2016) - [j165]Masafumi Oizumi
, Shun-ichi Amari, Toru Yanagawa, Naotaka Fujii, Naotsugu Tsuchiya
:
Measuring Integrated Information from the Decoding Perspective. PLoS Comput. Biol. 12(1) (2016) - [j164]Masahiro Yukawa
, Shun-ichi Amari:
ℓp-Regularized Least Squares (0<p<1) and Critical Path. IEEE Trans. Inf. Theory 62(1): 488-502 (2016) - [j163]Richard Nock, Frank Nielsen
, Shun-ichi Amari:
On Conformal Divergences and Their Population Minimizers. IEEE Trans. Inf. Theory 62(1): 527-538 (2016) - [j162]Qibin Zhao, Guoxu Zhou
, Liqing Zhang, Andrzej Cichocki
, Shun-ichi Amari:
Bayesian Robust Tensor Factorization for Incomplete Multiway Data. IEEE Trans. Neural Networks Learn. Syst. 27(4): 736-748 (2016) - 2015
- [j161]Andrzej Cichocki
, Sergio Cruces
, Shun-ichi Amari:
Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences. Entropy 17(5): 2988-3034 (2015) - [j160]Nihat Ay, Shun-ichi Amari:
A Novel Approach to Canonical Divergences within Information Geometry. Entropy 17(12): 8111-8129 (2015) - [j159]C. C. Alan Fung
, Shun-ichi Amari:
Spontaneous Motion on Two-Dimensional Continuous Attractors. Neural Comput. 27(3): 507-547 (2015) - 2014
- [j158]Shun-ichi Amari:
Information Geometry of Positive Measures and Positive-Definite Matrices: Decomposable Dually Flat Structure. Entropy 16(4): 2131-2145 (2014) - [j157]Frank Nielsen
, Richard Nock, Shun-ichi Amari:
On Clustering Histograms with k-Means by Using Mixed α-Divergences. Entropy 16(6): 3273-3301 (2014) - [j156]Yuanqing Li, Zhuliang Yu, Ning Bi, Yong Xu, Zhenghui Gu, Shun-ichi Amari:
Sparse Representation for Brain Signal Processing: A tutorial on methods and applications. IEEE Signal Process. Mag. 31(3): 96-106 (2014) - [j155]Kwangjin Jeong, Masahiro Yukawa, Shun-ichi Amari:
Can Critical-Point Paths Under ℓp-Regularization (0<p<1) Reach the Sparsest Least Squares Solutions? IEEE Trans. Inf. Theory 60(5): 2960-2968 (2014) - 2013
- [j154]Shun-ichi Amari, Masahiro Yukawa:
Minkovskian Gradient for Sparse Optimization. IEEE J. Sel. Top. Signal Process. 7(4): 576-585 (2013) - [j153]Shun-ichi Amari:
Dreaming of mathematical neuroscience for half a century. Neural Networks 37: 48-51 (2013) - 2012
- [j152]Abd-Krim Seghouane, Shun-ichi Amari:
Identification of Directed Influence: Granger Causality, Kullback-Leibler Divergence, and Complexity. Neural Comput. 24(7): 1722-1739 (2012) - [j151]Kukjin Kang, Shun-ichi Amari:
Self-Consistent Learning of the Environment. Neural Comput. 24(12): 3191-3212 (2012) - [j150]Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen
:
Shape Retrieval Using Hierarchical Total Bregman Soft Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 34(12): 2407-2419 (2012) - [j149]Hideaki Shimazaki
, Shun-ichi Amari, Emery N. Brown, Sonja Grün
:
State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data. PLoS Comput. Biol. 8(3) (2012) - 2011
- [j148]Andrzej Cichocki
, Sergio Cruces
, Shun-ichi Amari:
Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization. Entropy 13(1): 134-170 (2011) - [j147]Shun-ichi Amari, Atsumi Ohara:
Geometry of q-Exponential Family of Probability Distributions. Entropy 13(6): 1170-1185 (2011) - [j146]Masafumi Oizumi
, Masato Okada, Shun-ichi Amari:
Information Loss Associated with Imperfect Observation and Mismatched Decoding. Frontiers Comput. Neurosci. 5: 9 (2011) - [j145]K. N. Magdoom, Deepak Subramanian
, V. Srinivasa Chakravarthy
, Balaraman Ravindran
, Shun-ichi Amari, N. Meenakshisundaram:
Modeling Basal Ganglia for Understanding Parkinsonian Reaching Movements. Neural Comput. 23(2): 477-516 (2011) - [j144]Yao Lu, Yuzuru Sato, Shun-ichi Amari:
Traveling Bumps and Their Collisions in a Two-Dimensional Neural Field. Neural Comput. 23(5): 1248-1260 (2011) - [j143]Shun-ichi Amari:
On Optimal Data Compression in Multiterminal Statistical Inference. IEEE Trans. Inf. Theory 57(9): 5577-5587 (2011) - [j142]Baba C. Vemuri, Meizhu Liu, Shun-ichi Amari, Frank Nielsen
:
Total Bregman Divergence and Its Applications to DTI Analysis. IEEE Trans. Medical Imaging 30(2): 475-483 (2011) - 2010
- [j141]Andrzej Cichocki
, Shun-ichi Amari:
Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities. Entropy 12(6): 1532-1568 (2010) - [j140]Shun-ichi Amari:
Conditional Mixture Model for Correlated Neuronal Spikes. Neural Comput. 22(7): 1718-1736 (2010) - [j139]Yuanqing Li, Shun-ichi Amari:
Two conditions for equivalence of 0-norm solution and 1-norm solution in sparse representation. IEEE Trans. Neural Networks 21(7): 1189-1196 (2010) - 2009
- [j138]Shun-ichi Amari:
Measure of Correlation Orthogonal to Change in Firing Rate. Neural Comput. 21(4): 960-972 (2009) - [j137]Masami Tatsuno
, Jean-Marc Fellous, Shun-ichi Amari:
Information-Geometric Measures as Robust Estimators of Connection Strengths and External Inputs. Neural Comput. 21(8): 2309-2335 (2009) - [j136]Shun-ichi Amari:
alpha-divergence is unique, belonging to both f-divergence and Bregman divergence classes. IEEE Trans. Inf. Theory 55(11): 4925-4931 (2009) - 2008
- [j135]Naoki Masuda
, Shun-ichi Amari:
A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning. J. Comput. Neurosci. 24(2): 137-156 (2008) - [j134]Haikun Wei, Jun Zhang, Florent Cousseau, Tomoko Ozeki, Shun-ichi Amari:
Dynamics of Learning Near Singularities in Layered Networks. Neural Comput. 20(3): 813-843 (2008) - [j133]Si Wu, Kosuke Hamaguchi
, Shun-ichi Amari:
Dynamics and Computation of Continuous Attractors. Neural Comput. 20(4): 994-1025 (2008) - [j132]Kukjin Kang, Shun-ichi Amari:
Discrimination with Spike Times and ISI Distributions. Neural Comput. 20(6): 1411-1426 (2008) - [j131]Haikun Wei, Shun-ichi Amari:
Dynamics of learning near singularities in radial basis function networks. Neural Networks 21(7): 989-1005 (2008) - [j130]Andrzej Cichocki
, Rafal Zdunek
, Shun-ichi Amari:
Nonnegative Matrix and Tensor Factorization [Lecture Notes]. IEEE Signal Process. Mag. 25(1): 142-145 (2008) - [j129]Florent Cousseau, Tomoko Ozeki, Shun-ichi Amari:
Dynamics of Learning in Multilayer Perceptrons Near Singularities. IEEE Trans. Neural Networks 19(8): 1313-1328 (2008) - [j128]Yuanqing Li, Andrzej Cichocki
, Shun-ichi Amari, Shengli Xie, Cuntai Guan
:
Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation. IEEE Trans. Neural Networks 19(12): 2009-2021 (2008) - 2007
- [j127]Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma
, Shun-ichi Amari:
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering. BMC Bioinform. 8 (2007) - [j126]Shun-ichi Amari:
Integration of Stochastic Models by Minimizing alpha-Divergence. Neural Comput. 19(10): 2780-2796 (2007) - [j125]Abd-Krim Seghouane
, Shun-ichi Amari:
The AIC Criterion and Symmetrizing the Kullback-Leibler Divergence. IEEE Trans. Neural Networks 18(1): 97-106 (2007) - 2006
- [j124]Hiroyuki Nakahara
, Shun-ichi Amari, Barry J. Richmond:
A Comparison of Descriptive Models of a Single Spike Train by Information-Geometric Measure. Neural Comput. 18(3): 545-568 (2006) - [j123]Shun-ichi Amari, Hyeyoung Park, Tomoko Ozeki:
Singularities Affect Dynamics of Learning in Neuromanifolds. Neural Comput. 18(5): 1007-1065 (2006) - [j122]Shun-ichi Amari, Hiroyuki Nakahara
:
Correlation and Independence in the Neural Code. Neural Comput. 18(6): 1259-1267 (2006) - [j121]Keiji Miura, Masato Okada, Shun-ichi Amari:
Estimating Spiking Irregularities Under Changing Environments. Neural Comput. 18(10): 2359-2386 (2006) - [j120]Wakako Nakamura, Kimitaka Anami, Takeyuki Mori, Osamu Saitoh, Andrzej Cichocki
, Shun-ichi Amari:
Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis. IEEE Trans. Biomed. Eng. 53(7): 1294-1308 (2006) - [j119]Yuanqing Li, Shun-ichi Amari, Andrzej Cichocki
, Cuntai Guan
:
Probability Estimation for Recoverability Analysis of Blind Source Separation Based on Sparse Representation. IEEE Trans. Inf. Theory 52(7): 3139-3152 (2006) - [j118]Yuanqing Li, Andrzej Cichocki
, Shun-ichi Amari:
Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach. IEEE Trans. Neural Networks 17(2): 419-431 (2006) - [j117]Hongtao Lu, Shun-ichi Amari:
Global Exponential Stability of Multitime Scale Competitive Neural Networks With Nonsmooth Functions. IEEE Trans. Neural Networks 17(5): 1152-1164 (2006) - [j116]Yuanqing Li, Shun-ichi Amari, Andrzej Cichocki
, Daniel W. C. Ho
, Shengli Xie:
Underdetermined blind source separation based on sparse representation. IEEE Trans. Signal Process. 54(2): 423-437 (2006) - 2005
- [j115]Simone G. O. Fiori
, Shun-ichi Amari:
Geometrical methods in neural networks and learning. Neurocomputing 67: 1-7 (2005) - [j114]Shun-ichi Amari, Hiroyuki Nakahara
:
Difficulty of Singularity in Population Coding. Neural Comput. 17(4): 839-858 (2005) - [j113]Si Wu, Shun-ichi Amari:
Computing with Continuous Attractors: Stability and Online Aspects. Neural Comput. 17(10): 2215-2239 (2005) - [j112]Shun-ichi Amari:
Part 1: Tutorial Series on Brain-Inspired Computing. New Gener. Comput. 23(4): 357-359 (2005) - [j111]Shiro Ikeda
, Toshiyuki Tanaka, Shun-ichi Amari:
Information geometry for turbo decoding. Syst. Comput. Jpn. 36(1): 79-87 (2005) - [j110]Jun'ichi Takeuchi, Shun-ichi Amari:
α-parallel prior and its properties. IEEE Trans. Inf. Theory 51(3): 1011-1023 (2005) - 2004
- [j109]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. Bioinform. Comput. Biol. 2(4): 669-680 (2004) - [j108]Hyeyoung Park, Noboru Murata
, Shun-ichi Amari:
Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC. Neural Comput. 16(2): 355-382 (2004) - [j107]Yuanqing Li, Andrzej Cichocki
, Shun-ichi Amari:
Analysis of Sparse Representation and Blind Source Separation. Neural Comput. 16(6): 1193-1234 (2004) - [j106]Shiro Ikeda
, Toshiyuki Tanaka, Shun-ichi Amari:
Stochastic Reasoning, Free Energy, and Information Geometry. Neural Comput. 16(9): 1779-1810 (2004) - [j105]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) - [j104]Shiro Ikeda
, Toshiyuki Tanaka, Shun-ichi Amari:
Information Geometry of Turbo and Low-Density Parity-Check Codes. IEEE Trans. Inf. Theory 50(6): 1097-1114 (2004) - [j103]Liqing Zhang, Andrzej Cichocki
, Shun-ichi Amari:
Self-adaptive blind source separation based on activation functions adaptation. IEEE Trans. Neural Networks 15(2): 233-244 (2004) - [j102]Sergio Antonio Cruces-Alvarez
, Andrzej Cichocki
, Shun-ichi Amari:
From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability. IEEE Trans. Neural Networks 15(4): 859-873 (2004) - [j101]Liqing Zhang, Andrzej Cichocki
, Shun-ichi Amari:
Multichannel blind deconvolution of nonminimum-phase systems using filter decomposition. IEEE Trans. Signal Process. 52(5): 1430-1442 (2004) - [j100]Scott C. Douglas, Shun-ichi Amari, Sun-Yuan Kung:
Gradient Adaptive Paraunitary Filter Banks for Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution. J. VLSI Signal Process. 37(2-3): 247-261 (2004) - 2003
- [j99]Hiroyuki Nakahara
, Shin-ichi Nishimura, Masato Inoue
, Gen Hori, Shun-ichi Amari:
Gene Interaction in DNA Microarray Data Is Decomposed by Information Geometric Measure. Bioinform. 19(9): 1124-113 (2003) - [j98]Seungjin Choi, Andrzej Cichocki, Liqing Zhang, Shun-ichi Amari:
Approximate Maximum Likelihood Source Separation Using the Natural Gradient. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(1): 198-205 (2003) - [j97]Te-Won Lee, Jean-François Cardoso, Erkki Oja, Shun-ichi Amari:
Introduction to Special Issue on Independent Components Analysis. J. Mach. Learn. Res. 4: 1175-1176 (2003) - [j96]Shun-ichi Amari, Hiroyuki Nakahara
, Si Wu, Yutaka Sakai:
Synchronous Firing and Higher-Order Interactions in Neuron Pool. Neural Comput. 15(1): 127-142 (2003) - [j95]Si Wu, Danmei Chen, Mahesan Niranjan
, Shun-ichi Amari:
Sequential Bayesian Decoding with a Population of Neurons. Neural Comput. 15(5): 993-1012 (2003) - [j94]Sumio Watanabe, Shun-ichi Amari:
Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities. Neural Comput. 15(5): 1013-1033 (2003) - [j93]Peter Eckersley, Gary F. Egan, Erik De Schutter
, Yiyuan Tang, Mirko Novak, Václav Sebesta, Line Matthiessen, Iiro P. Jääskeläinen
, Ulla Ruotsalainen, Andreas V. M. Herz, K. Peter Hoffmann, Raphael Ritz
, Viji Ravindranath, Francesco Beltrame, Shun-ichi Amari, Shiro Usui, Soo-Young Lee, Jaap van Pelt, Jan G. Bjaalie
, Andrzej Wróbel
, Fernando Mira da Silva, Carmen González, Sten Grillner, Paul F. M. J. Verschure
, Turgay Dalkara
, Robert Bennett, David Willshaw, Stephen H. Koslow, Perry L. Miller, Shankar Subramaniam, Arthur W. Toga:
Neuroscience data and tool sharing - A legal and policy framework for neuroinformatics. Neuroinformatics 1(2): 149-165 (2003) - [j92]Shun-ichi Amari, Michael A. Arbib, Rolf Kötter:
Neuroinformatics - Introduction. Neural Networks 16(9): 1235-1236 (2003) - [j91]Shun-ichi Amari, Marat V. Burnashev:
On Some Singularities in Parameter Estimation Problems. Probl. Inf. Transm. 39(4): 352-372 (2003) - [j90]Shun-ichi Amari, Tomoko Ozeki, Hyeyoung Park:
Learning and inference in hierarchical models with singularities. Syst. Comput. Jpn. 34(7): 34-42 (2003) - [j89]Jianting Cao, Noboru Murata
, Shun-ichi Amari, Andrzej Cichocki
, Tsunehiro Takeda:
A robust approach to independent component analysis of signals with high-level noise measurements. IEEE Trans. Neural Networks 14(3): 631-645 (2003) - 2002
- [j88]Shun-ichi Amari:
Independent Component Analysis (ICA) and Method of Estimating Functions. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 85-A(3): 540-547 (2002) - [j87]Si Wu, Shun-ichi Amari, Hiroyuki Nakahara
:
Asymptotic behaviors of population codes. Neurocomputing 44-46: 697-702 (2002) - [j86]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) - [j85]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) - [j84]Hiroyuki Nakahara
, Shun-ichi Amari, Okihide Hikosaka:
Self-Organization in the Basal Ganglia with Modulation of Reinforcement Signals. Neural Comput. 14(4): 819-844 (2002) - [j83]Si Wu, Shun-ichi Amari, Hiroyuki Nakahara
:
Population Coding and Decoding in a Neural Field: A Computational Study. Neural Comput. 14(5): 999-1026 (2002) - [j82]Hiroyuki Nakahara
, Shun-ichi Amari:
Information-Geometric Measure for Neural Spikes. Neural Comput. 14(10): 2269-2316 (2002) - [j81]Tianping Chen, Wenlian Lu, Shun-ichi Amari:
Global Convergence Rate of Recurrently Connected Neural Networks. Neural Comput. 14(12): 2947-2957 (2002) - [j80]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) - [j79]Seungjin Choi, Andrzej Cichocki
, Shun-ichi Amari:
Equivariant nonstationary source separation. Neural Networks 15(1): 121-130 (2002) - [j78]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) - [j77]Si Wu, Shun-ichi Amari:
Conformal Transformation of Kernel Functions A Data Dependent Way to Improve Support Vector Machine Classifiers. Neural Process. Lett. 15(1): 59-67 (2002) - [j76]Marat V. Burnashev, Shun-ichi Amari:
On Density Estimation under Relative Entropy Loss Criterion. Probl. Inf. Transm. 38(4): 323-346 (2002) - [j75]Sergio Antonio Cruces-Alvarez
, Andrzej Cichocki
, Shun-ichi Amari:
On a new blind signal extraction algorithm: different criteria and stability analysis. IEEE Signal Process. Lett. 9(8): 233-236 (2002) - 2001
- [j74]Tianping Chen, Shun-ichi Amari:
Exponential Convergence of Delayed Dynamical Systems. Neural Comput. 13(3): 621-635 (2001) - [j73]Si Wu, Hiroyuki Nakahara
, Shun-ichi Amari:
Population Coding with Correlation and an Unfaithful Model. Neural Comput. 13(4): 775-797 (2001) - [j72]Hiroyuki Nakahara
, Si Wu, Shun-ichi Amari:
Attention Modulation of Neural Tuning Through Peak and Base Rate. Neural Comput. 13(9): 2031-2047 (2001) - [j71]Tianping Chen, Shun-ichi Amari:
New theorems on global convergence of some dynamical systems. Neural Networks 14(3): 251-255 (2001) - [j70]Tianping Chen, Shun-ichi Amari:
Unified stabilization approach to principal and minor components extraction algorithms. Neural Networks 14(10): 1377-1387 (2001) - [j69]Tianping Chen, Shun-ichi Amari, Noboru Murata
:
Sequential Extraction of Minor Components. Neural Process. Lett. 13(3): 195-201 (2001) - [j68]Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki
:
Semiparametric model and superefficiency in blind deconvolution. Signal Process. 81(12): 2535-2553 (2001) - [j67]Shun-ichi Amari:
Information geometry on hierarchy of probability distributions. IEEE Trans. Inf. Theory 47(5): 1701-1711 (2001) - [j66]Tianping Chen, Shun-ichi Amari:
Stability of asymmetric Hopfield networks. IEEE Trans. Neural Networks 12(1): 159-163 (2001) - 2000
- [j65]Tianping Chen, Shun-ichi Amari:
Dynamic behavior of the robust decorrelation process. Neurocomputing 30(1-4): 143-151 (2000) - [j64]Jun'ichi Takeuchi, Naoki Abe, Shun-ichi Amari:
The Lob-Pass Problem. J. Comput. Syst. Sci. 61(3): 523-557 (2000) - [j63]Shun-ichi Amari, Hyeyoung Park, Kenji Fukumizu
:
Adaptive Method of Realizing Natural Gradient Learning for Multilayer Perceptrons. Neural Comput. 12(6): 1399-1409 (2000) - [j62]Shun-ichi Amari, Tianping Chen, Andrzej Cichocki
:
Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation. Neural Comput. 12(6): 1463-1484 (2000) - [j61]Shun-ichi Amari:
Estimating Functions of Independent Component Analysis for Temporally Correlated Signals. Neural Comput. 12(9): 2083-2107 (2000) - [j60]Kenji Fukumizu
, Shun-ichi Amari:
Local minima and plateaus in hierarchical structures of multilayer perceptrons. Neural Networks 13(3): 317-327 (2000) - [j59]Désiré 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) - [j58]Hyeyoung Park, Shun-ichi Amari, Kenji Fukumizu
:
Adaptive natural gradient learning algorithms for various stochastic models. Neural Networks 13(7): 755-764 (2000) - [j57]José C. Príncipe, Sergio Cerutti
, Shun-ichi Amari:
Special topic section on advances in statistical signal processing for medicine. IEEE Trans. Biomed. Eng. 47(5): 565-566 (2000) - [j56]Scott C. Douglas, Shun-ichi Amari, Sun-Yuan Kung:
On gradient adaptation with unit-norm constraints. IEEE Trans. Signal Process. 48(6): 1843-1847 (2000) - [j55]Seungjin Choi, Andrzej Cichocki
, Shun-ichi Amari:
Flexible Independent Component Analysis. J. VLSI Signal Process. 26(1-2): 25-38 (2000) - 1999
- [j54]Jayanta Basak, Shun-ichi Amari:
Blind Separation of a Mixture of Uniformly Distributed Source Signals: A Novel Approach. Neural Comput. 11(4): 1011-1034 (1999) - [j53]Shun-ichi Amari:
Natural Gradient Learning for Over- and Under-Complete Bases in ICA. Neural Comput. 11(8): 1875-1883 (1999) - [j52]Tianping Chen, Shun-ichi Amari:
Response. Neural Networks 12(2): 395- (1999) - [j51]Shun-ichi Amari, Si Wu:
Improving support vector machine classifiers by modifying kernel functions. Neural Networks 12(6): 783-789 (1999) - [j50]Noboru Murata
, Shun-ichi Amari:
Statistical analysis of learning dynamics. Signal Process. 74(1): 3-28 (1999) - [j49]Liqing Zhang, Andrzej Cichocki
, Shun-ichi Amari:
Natural gradient algorithm for blind separation of overdetermined mixture with additive noise. IEEE Signal Process. Lett. 6(11): 293-295 (1999) - [j48]Jayanta Basak, Shun-ichi Amari:
Blind separation of uniformly distributed signals: a general approach. IEEE Trans. Neural Networks 10(5): 1173-1185 (1999) - [j47]Shun-ichi Amari:
Superefficiency in blind source separation. IEEE Trans. Signal Process. 47(4): 936-944 (1999) - [j46]Scott C. Douglas, Andrzej Cichocki
, Shun-ichi Amari:
Self-whitening algorithms for adaptive equalization and deconvolution. IEEE Trans. Signal Process. 47(4): 1161-1165 (1999) - 1998
- [j45]K. Hiraoka, Shun-ichi Amari:
Strategy Under the Unknown Stochastic Environment: The Nonparametric Lob-Pass Problem. Algorithmica 22(1/2): 138-156 (1998) - [j44]Lei Xu, Chi Chiu Cheung, Shun-ichi Amari:
Learned parametric mixture based ICA algorithm. Neurocomputing 22(1-3): 69-80 (1998) - [j43]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) - [j42]Shun-ichi Amari:
Natural Gradient Works Efficiently in Learning. Neural Comput. 10(2): 251-276 (1998) - [j41]Howard Hua Yang, Shun-ichi Amari:
Complexity Issues in Natural Gradient Descent Method for Training Multi-Layer Perceptrons. Neural Comput. 10(8): 2137-2157 (1998) - [j40]Tianping Chen, Shun-ichi Amari, Qin Lin:
A unified algorithm for principal and minor components extraction. Neural Networks 11(3): 385-390 (1998) - [j39]Shun-ichi Amari, Andrzej Cichocki
:
Adaptive blind signal processing-neural network approaches. Proc. IEEE 86(9): 2026-2048 (1998) - [j38]Howard Hua Yang, Shun-ichi Amari, Andrzej Cichocki:
Information-theoretic approach to blind separation of sources in non-linear mixture. Signal Process. 64(3): 291-300 (1998) - [j37]Scott C. Douglas, Sun-Yuan Kung, Shun-ichi Amari:
A self-stabilized minor subspace rule. IEEE Signal Process. Lett. 5(12): 328-330 (1998) - [j36]Te Sun Han, Shun-ichi Amari:
Statistical Inference Under Multiterminal Data Compression. IEEE Trans. Inf. Theory 44(6): 2300-2324 (1998) - [j35]Mark A. Girolami
, Andrzej Cichocki
, Shun-ichi Amari:
A common neural-network model for unsupervised exploratory data analysis and independent component analysis. IEEE Trans. Neural Networks 9(6): 1495-1501 (1998) - 1997
- [j34]Wlodzimierz Kasprzak, Andrzej Cichocki
, Shun-ichi Amari:
Blind Source Separation with Convolutive Noise Cancellation. Neural Comput. Appl. 6(3): 127-141 (1997) - [j33]Howard Hua Yang, Shun-ichi Amari:
Adaptive On-line Learning Algorithms for Blind Separation-Maximization Entropy and Minimum Mutual Information. Neural Comput. 9(7): 1457-1482 (1997) - [j32]Shun-ichi Amari, Tianping Chen, Andrzej Cichocki
:
Stability Analysis of Learning Algorithms for Blind Source Separation. Neural Networks 10(8): 1345-1351 (1997) - [j31]Shun-ichi Amari, Noboru Murata
, Klaus-Robert Müller
, Michael Finke, Howard Hua Yang:
Asymptotic statistical theory of overtraining and cross-validation. IEEE Trans. Neural Networks 8(5): 985-996 (1997) - [j30]Shun-ichi Amari, Jean-François Cardoso
:
Blind source separation-semiparametric statistical approach. IEEE Trans. Signal Process. 45(11): 2692-2700 (1997) - 1996
- [j29]Klaus-Robert Müller
, Michael Finke, Noboru Murata, Klaus Schulten, Shun-ichi Amari:
A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks. Neural Comput. 8(5): 1085-1106 (1996) - [j28]Hiro-Fumi Yanai, Shun-ichi Amari:
Auto-associative memory with two-stage dynamics of nonmonotonic neurons. IEEE Trans. Neural Networks 7(4): 803-815 (1996) - 1995
- [j27]Shun-ichi Amari:
The EM Algorithm and Information Geometry in Neural Network Learning. Neural Comput. 7(1): 13-18 (1995) - [j26]Shun-ichi Amari:
Information geometry of the EM and em algorithms for neural networks. Neural Networks 8(9): 1379-1408 (1995) - [j25]Te Sun Han, Shun-ichi Amari:
Parameter estimation with multiterminal data compression. IEEE Trans. Inf. Theory 41(6): 1802-1833 (1995) - 1994
- [j24]Atsumi Ohara, Shun-ichi Amari:
Differential geometric structures of stable state feedback systems with dual connections. Kybernetika 30(4): 369-386 (1994) - [j23]Motoaki Kawanabe, Shun-ichi Amari:
Estimation of Network Parameters in Semiparametric Stochastic Perceptron. Neural Comput. 6(6): 1244-1261 (1994) - [j22]Jian Zhuang, Shun-ichi Amari:
Piecewise-linear division of region by neural networks with maximum detectors. Syst. Comput. Jpn. 25(6): 73-79 (1994) - [j21]Noboru Murata
, Shuji Yoshizawa, Shun-ichi Amari:
Network information criterion-determining the number of hidden units for an artificial neural network model. IEEE Trans. Neural Networks 5(6): 865-872 (1994) - 1993
- [j20]Shun-ichi Amari:
Backpropagation and stochastic gradient descent method. Neurocomputing 5(3): 185-196 (1993) - [j19]Shun-ichi Amari, Noboru Murata:
Statistical Theory of Learning Curves under Entropic Loss Criterion. Neural Comput. 5(1): 140-153 (1993) - [j18]Shun-ichi Amari:
A universal theorem on learning curves. Neural Networks 6(2): 161-166 (1993) - [j17]Shuji Yoshizawa, Masahiko Morita, Shun-ichi Amari:
Capacity of associative memory using a nonmonotonic neuron model. Neural Networks 6(2): 167-176 (1993) - 1992
- [j16]Shun-ichi Amari, Naotake Fujita, Shigeru Shinomoto:
Four Types of Learning Curves. Neural Comput. 4(4): 605-618 (1992) - [j15]Shun-ichi Amari, Stephen Grossberg, John G. Taylor:
Editorial. Neural Networks 5(1): 1 (1992) - [j14]Hisashi Ito, Shun-ichi Amari, Kingo Kobayashi:
Identifiability of hidden Markov information sources and their minimum degrees of freedom. IEEE Trans. Inf. Theory 38(2): 324-333 (1992) - [j13]Shun-ichi Amari, Koji Kurata, Hiroshi Nagaoka:
Information geometry of Boltzmann machines. IEEE Trans. Neural Networks 3(2): 260-271 (1992) - 1991
- [j12]Shun-ichi Amari:
Mathematical Theory of Neural Learning. New Gener. Comput. 8(4): 281-294 (1991) - [j11]Shun-ichi Amari:
Dualistic geometry of the manifold of higher-order neurons. Neural Networks 4(4): 443-451 (1991) - 1990
- [j10]Shun-ichi Amari:
Mathematical foundations of neurocomputing. Proc. IEEE 78(9): 1443-1463 (1990) - 1989
- [j9]Shun-ichi Amari:
Characteristics of sparsely encoded associative memory. Neural Networks 2(6): 451-457 (1989) - [j8]Shun-ichi Amari, Te Sun Han:
Statistical inference under multiterminal rate restrictions: A differential geometric approach. IEEE Trans. Inf. Theory 35(2): 217-227 (1989) - 1988
- [j7]Shun-ichi Amari, Kenjiro Maginu:
Statistical neurodynamics of associative memory. Neural Networks 1(1): 63-73 (1988) - 1987
- [j6]Shun-ichi Amari:
Differential Geometry of a Parametric Family of Invertible Linear Systems - Riemannian Metric, Dual Affine Connections, and Divergence. Math. Syst. Theory 20(1): 53-82 (1987) - [j5]Shun-ichi Amari:
Neural mechanisms of information processing in the brain. Syst. Comput. Jpn. 18(7): 31-45 (1987) - 1983
- [j4]Shun-ichi Amari:
Field theory of self-organizing neural nets. IEEE Trans. Syst. Man Cybern. 13(5): 741-748 (1983) - 1972
- [j3]Shun-ichi Amari:
Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements. IEEE Trans. Computers 21(11): 1197-1206 (1972) - [j2]Shun-ichi Amari:
Characteristics of Random Nets of Analog Neuron-Like Elements. IEEE Trans. Syst. Man Cybern. 2(5): 643-657 (1972) - 1967
- [j1]Shun-ichi Amari:
A Theory of Adaptive Pattern Classifiers. IEEE Trans. Electron. Comput. 16(3): 299-307 (1967)
Conference and Workshop Papers
- 2021
- [c92]Shun-ichi Amari, Takeru Matsuda:
Wasserstein Statistics in One-Dimensional Location-Scale Models. GSI 2021: 499-506 - [c91]Shun-ichi Amari, Jimmy Ba, Roger Baker Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu:
When does preconditioning help or hurt generalization? ICLR 2021 - 2019
- [c90]Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi:
Fisher Information and Natural Gradient Learning in Random Deep Networks. AISTATS 2019: 694-702 - [c89]Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach. AISTATS 2019: 1032-1041 - [c88]Jean Feydy, Thibault Séjourné, François-Xavier Vialard, Shun-ichi Amari, Alain Trouvé, Gabriel Peyré:
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences. AISTATS 2019: 2681-2690 - [c87]Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks. NeurIPS 2019: 6403-6413 - 2017
- [c86]Ryo Karakida, Shun-ichi Amari:
Information Geometry of Wasserstein Divergence. GSI 2017: 119-126 - 2016
- [c85]Ryo Karakida, Masato Okada, Shun-ichi Amari:
Maximum likelihood learning of RBMs with Gaussian visible units on the Stiefel manifold. ESANN 2016 - [c84]Ryo Karakida, Masato Okada, Shun-ichi Amari:
Adaptive Natural Gradient Learning Algorithms for Unnormalized Statistical Models. ICANN (1) 2016: 427-434 - 2015
- [c83]John Armstrong
, Shun-ichi Amari:
The Pontryagin Forms of Hessian Manifolds. GSI 2015: 240-247 - [c82]Shun-ichi Amari, Nihat Ay:
Standard Divergence in Manifold of Dual Affine Connections. GSI 2015: 320-325 - 2013
- [c81]Shun-ichi Amari:
Information Geometry and Its Applications: Survey. GSI 2013: 3 - 2012
- [c80]Masahiro Yukawa, Shun-ichi Amari:
ℓp-constrained least squares (0 < p < 1) and its critical path. ISIT 2012: 2221-2225 - 2011
- [c79]Shun-ichi Amari:
Data compression in multiterminal statistical inference - linear-threshold encoding. ISIT 2011: 1126-1130 - 2010
- [c78]Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen
:
Total Bregman divergence and its applications to shape retrieval. CVPR 2010: 3463-3468 - [c77]Shun-ichi Amari:
Computations Inspired from the Brain. UC 2010: 1 - 2009
- [c76]Si Wu, Shun-ichi Amari:
On the condition for fast neural computation. CDC 2009: 4487-4492 - [c75]Hideaki Shimazaki
, Shun-ichi Amari, Emery N. Brown, Sonja Grün
:
State-space analysis on time-varying correlations in parallel spike sequences. ICASSP 2009: 3501-3504 - [c74]Shun-ichi Amari:
Divergence, Optimization and Geometry. ICONIP (1) 2009: 185-193 - [c73]Dami Kim, Soo-Young Lee, Shun-ichi Amari:
Representative and Discriminant Feature Extraction Based on NMF for Emotion Recognition in Speech. ICONIP (1) 2009: 649-656 - 2008
- [c72]Shun-ichi Amari:
Information Geometry and Its Applications: Convex Function and Dually Flat Manifold. ETVC 2008: 75-102 - 2007
- [c71]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization. ICA 2007: 169-176 - [c70]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 - [c69]Andrzej Cichocki
, Rafal Zdunek
, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari:
Non-Negative Tensor Factorization using Alpha and Beta Divergences. ICASSP (3) 2007: 1393-1396 - [c68]Andrzej Cichocki
, Marko Jankovic
, Rafal Zdunek
, Shun-ichi Amari:
Sparse Super Symmetric Tensor Factorization. ICONIP (1) 2007: 781-790 - [c67]Haikun Wei, Shun-ichi Amari:
Eigenvalue Analysis on Singularity in RBF networks. IJCNN 2007: 690-695 - [c66]Si Wu, Kosuke Hamaguchi
, Shun-ichi Amari:
The Tracking Speed of Continuous Attractors. ISNN (1) 2007: 926-934 - 2006
- [c65]Andrzej Cichocki
, Rafal Zdunek
, Shun-ichi Amari:
Csiszár's Divergences for Non-negative Matrix Factorization: Family of New Algorithms. ICA 2006: 32-39 - [c64]Jinwen Ma, Dengpan Gao, Fei Ge, Shun-ichi Amari:
A One-Bit-Matching Learning Algorithm for Independent Component Analysis. ICA 2006: 173-180 - [c63]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 - [c62]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 - [c61]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 - [c60]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation. ICASSP (5) 2006: 621-624 - [c59]Haikun Wei, Shun-ichi Amari:
Online Learning Dynamics of Radial Basis Function Neural Networks near the Singularity. IJCNN 2006: 4770-4776 - [c58]Si Wu, Jianfeng Feng, Shun-ichi Amari:
The Ideal Noisy Environment for Fast Neural Computation. ISNN (1) 2006: 1-6 - 2005
- [c57]Shun-ichi Amari:
Population Coding, Bayesian Inference and Information Geometry. ISNN (1) 2005: 1-4 - [c56]Naoki Masuda, Shun-ichi Amari:
Modeling Memory Transfer and Saving in Cerebellar Motor Learning. NIPS 2005: 859-866 - [c55]Keiji Miura, Masato Okada, Shun-ichi Amari:
Unbiased Estimator of Shape Parameter for Spiking Irregularities under Changing Environments. NIPS 2005: 891-898 - 2004
- [c54]Fabian J. Theis, Shun-ichi Amari:
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources. ICA 2004: 718-725 - [c53]Andrzej Cichocki, Yuanqing Li, Pando G. Georgiev, Shun-ichi Amari:
Beyond ICA: robust sparse signal representations. ISCAS (5) 2004: 684-687 - 2003
- [c52]Michiko Yamana, Hiroyuki Nakahara, Massimiliano Pontil, Shun-ichi Amari:
On different ensembles of kernel machines. ESANN 2003: 197-201 - [c51]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: 241-248 - 2002
- [c50]Shun-ichi Amari:
Information Geometry of Neural Learning and Belief Propagation. FSKD 2002: 4 - [c49]Shun-ichi Amari:
Information geometry of statistical inference - an overview. ITW 2002: 86-89 - [c48]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 - [c47]Kenji Fukumizu, Shotaro Akaho, Shun-ichi Amari:
Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting. NIPS 2002: 865-872 - 2001
- [c46]Shun-ichi Amari, Tomoko Ozeki, Hyeyoung Park:
Generalization Error and Training Error at Singularities of Multilayer Perceptrons. IWANN (1) 2001: 325-332 - [c45]Sergio Cruces
, Andrzej Cichocki
, Shun-ichi Amari:
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction. IWANN (2) 2001: 786-793 - [c44]Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki
:
Equi-convergence Algorithm for Blind Separation of Sources with Arbitrary Distributions. IWANN (2) 2001: 826-833 - [c43]Hiroyuki Nakahara, Shun-ichi Amari:
Information-Geometric Decomposition in Spike Analysis. NIPS 2001: 253-260 - [c42]Si Wu, Shun-ichi Amari:
Neural Implementation of Bayesian Inference in Population Codes. NIPS 2001: 317-323 - [c41]Shun-ichi Amari, Hyeyoung Park, Tomoko Ozeki:
Geometrical Singularities in the Neuromanifold of Multilayer Perceptrons. NIPS 2001: 343-350 - [c40]Shiro Ikeda, Toshiyuki Tanaka, Shun-ichi Amari:
Information Geometrical Framework for Analyzing Belief Propagation Decoder. NIPS 2001: 407-414 - [c39]Toshiyuki Tanaka, Shiro Ikeda, Shun-ichi Amari:
Information-Geometrical Significance of Sparsity in Gallager Codes. NIPS 2001: 527-534 - 2000
- [c38]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Local stability analysis of flexible independent component analysis algorithm. ICASSP 2000: 3426-3429 - [c37]Masumi Ishikawa, Hirohito Shimada, Shun-ichi Amari:
Iterative Design of Regularizers Based on Data by Minimizing Generalization Errors. IJCNN (1) 2000: 3-8 - [c36]Si Wu, Danmei Chen, Shun-ichi Amari:
Unfaithful Population Decoding. IJCNN (2) 2000: 199-204 - [c35]Shun-ichi Amari:
Information Geometry of Neural Networks. PRICAI 2000: 2 - [c34]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 - 1999
- [c33]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution. ICASSP 1999: 1085-1088 - [c32]Scott C. Douglas, Shun-ichi Amari, Sun-Yuan Kung:
Adaptive paraunitary filter banks for principal and minor subspace analysis. ICASSP 1999: 1089-1092 - [c31]Si Wu, Hiroyuki Nakahara, Noboru Murata, Shun-ichi Amari:
Population Decoding Based on an Unfaithful Model. NIPS 1999: 192-198 - [c30]Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki:
Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems. NIPS 1999: 363-369 - 1998
- [c29]Shun-ichi Amari, Scott C. Douglas:
Why natural gradient? ICASSP 1998: 1213-1216 - [c28]Shun-ichi Amari:
Future Perspective of 'Creating Brain' Program. ICONIP 1998: 7 - [c27]Shun-ichi Amari:
Information Geometry of Neuro-Manifolds. ICONIP 1998: 591-593 - [c26]Shiro Ikeda, Shun-ichi Amari, Hiroyuki Nakahara:
Convergence of the Wake-Sleep Algorithm. NIPS 1998: 239-245 - 1997
- [c25]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 - [c24]Howard Hua Yang, Shun-ichi Amari:
Blind equalization of switching channels by ICA and learning of learning rate. ICASSP 1997: 1849-1852 - [c23]Lei Xu, Chi Chiu Cheung, Howard Hua Yang, Shun-ichi Amari:
Independent component analysis by the information-theoretic approach with mixture of densities. ICNN 1997: 1821-1826 - [c22]Andrzej Cichocki, Ruck Thawonmas, Shun-ichi Amari:
Dual cascade networks for blind signal extraction. ICNN 1997: 2135-2140 - [c21]Howard Hua Yang, Shun-ichi Amari, Andrzej Cichocki:
Information backpropagation for blind separation of sources in nonlinear mixture. ICNN 1997: 2141-2146 - [c20]H. H. Yang, Shun-ichi Amari:
Training Multi-Layer Perceptrons by Natural Gradient Descent. ICONIP (1) 1997: 211-214 - [c19]S. Bos, Shun-ichi Amari:
Annealed On-Line Learning in a Nonlinear Neural Net. ICONIP (1) 1997: 318-321 - [c18]Shun-ichi Amari, Ta Chen, Andrzej Cichocki:
Non-Holonomic Constraints in Learning Blind Source Separation. ICONIP (1) 1997: 633-636 - [c17]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach. ICONIP (1) 1997: 641-644 - [c16]Seungjin Choi, Shun-ichi Amari, Andrzej Cichocki:
Natural Gradient Learning Algorithms for Decorrelation. ICONIP (1) 1997: 645-648 - [c15]Shun-ichi Amari, Noboru Murata
:
Statistical Analysis of Regularization Constant - From Bayes, MDL and NIC Points of View. IWANN 1997: 284-293 - [c14]Howard Hua Yang, Shun-ichi Amari:
The Efficiency and the Robustness of Natural Gradient Descent Learning Rule. NIPS 1997: 385-391 - 1996
- [c13]Andrzej Cichocki, Wlodzimierz Kasprzak, Shun-ichi Amari:
Neural network approach to blind separation and enhancement of images. EUSIPCO 1996: 1-4 - [c12]Howard Hua Yang, Shun-ichi Amari:
Two Gradient Descent Algorithms for Blind Signal Separation. ICANN 1996: 287-292 - [c11]Shun-ichi Amari:
Neural Learning in Structured Parameter Spaces - Natural Riemannian Gradient. NIPS 1996: 127-133 - [c10]Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari:
Adaptive On-line Learning in Changing Environments. NIPS 1996: 599-605 - 1995
- [c9]Shun-ichi Amari:
Training Error, Generalization Error and Learning Curves in Neural Learning. ANNES 1995: 4-5 - [c8]Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang:
Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? NIPS 1995: 176-182 - [c7]Shun-ichi Amari, Andrzej Cichocki, Howard Hua Yang:
A New Learning Algorithm for Blind Signal Separation. NIPS 1995: 757-763 - 1993
- [c6]Hiro-Fumi Yanai, Shun-ichi Amari:
A theory on a neural net with nonmonotone neurons. ICNN 1993: 1385-1390 - 1992
- [c5]Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari:
Learning Curves, Model Selection and Complexity of Neural Networks. NIPS 1992: 607-614 - 1990
- [c4]Shun-ichi Amari:
Mathematical Theory of Neural Learning. ALT 1990: 3-20 - [c3]Shotaro Akaho
, Shun-ichi Amari:
On the capacity of three-layer networks. IJCNN 1990: 1-6 - 1988
- [c2]Shun-ichi Amari:
Statistical neurodynamics of various versions of correlation associative memory. ICNN 1988: 633-640 - 1979
- [c1]Shun-ichi Amari:
Theory of Self-Organizing Nerve Nets with Special Reference to Association and Concept Formation. IJCAI 1979: 13-15
Reference Works
- 2014
- [r2]Shun-ichi Amari:
Information Geometry as Applied to Neural Spike Data. Encyclopedia of Computational Neuroscience 2014 - 2009
- [r1]Lei Xu, Shun-ichi Amari:
Combining Classifiers and Learning Mixture-of-Experts. Encyclopedia of Artificial Intelligence 2009: 318-326
Informal and Other Publications
- 2022
- [i17]Kaito Watanabe, Kotaro Sakamoto, Ryo Karakida, Sho Sonoda, Shun-ichi Amari:
Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel. CoRR abs/2202.05254 (2022) - 2020
- [i16]Shun-ichi Amari:
Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective. CoRR abs/2001.06931 (2020) - [i15]Shun-ichi Amari, Jimmy Ba, Roger B. Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu:
When Does Preconditioning Help or Hurt Generalization? CoRR abs/2006.10732 (2020) - 2019
- [i14]Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks. CoRR abs/1906.02926 (2019) - [i13]Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
Pathological spectra of the Fisher information metric and its variants in deep neural networks. CoRR abs/1910.05992 (2019) - 2018
- [i12]Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach. CoRR abs/1806.01316 (2018) - [i11]Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi:
Statistical Neurodynamics of Deep Networks: Geometry of Signal Spaces. CoRR abs/1808.07169 (2018) - [i10]Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi:
Fisher Information and Natural Gradient Learning of Random Deep Networks. CoRR abs/1808.07172 (2018) - 2017
- [i9]Shun-ichi Amari, Naotsugu Tsuchiya, Masafumi Oizumi:
Geometry of Information Integration. CoRR abs/1709.02050 (2017) - [i8]Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi:
Information Geometry Connecting Wasserstein Distance and Kullback-Leibler Divergence via the Entropy-Relaxed Transportation Problem. CoRR abs/1709.10219 (2017) - 2015
- [i7]Masafumi Oizumi, Shun-ichi Amari, Toru Yanagawa, Naotaka Fujii, Naotsugu Tsuchiya:
Measuring integrated information from the decoding perspective. CoRR abs/1505.04368 (2015) - [i6]Masafumi Oizumi, Naotsugu Tsuchiya, Shun-ichi Amari:
A unified framework for information integration based on information geometry. CoRR abs/1510.04455 (2015) - 2014
- [i5]Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Robust Bayesian Tensor Factorization for Incomplete Multiway Data. CoRR abs/1410.2386 (2014) - [i4]Andrzej Cichocki, Sergio Cruces, Shun-ichi Amari:
Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences. CoRR abs/1412.7146 (2014) - 2013
- [i3]Masahiro Yukawa, Shun-ichi Amari:
Lp-Regularized Least Squares (0<p<1) and Critical Path. CoRR abs/1304.6591 (2013) - [i2]Richard Nock, Frank Nielsen, Shun-ichi Amari:
On conformal divergences and their population minimizers. CoRR abs/1311.5125 (2013) - 2010
- [i1]Atsumi Ohara, Hiroshi Matsuzoe, Shun-ichi Amari:
Dually flat structure with escort probability and its application to alpha-Voronoi diagrams. CoRR abs/1010.4965 (2010)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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last updated on 2024-08-14 23:14 CEST by the dblp team
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