Shunichi Amari
According to our database^{1},
Shunichi Amari
authored at least 267 papers
between 1967 and 2021.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 1994, "For contributions to mathematical foundations of neurocomputing and information geometry.".
Timeline
Legend:
Book In proceedings Article PhD thesis OtherLinks
Online presence:

on zbmath.org

on id.loc.gov

on dnb.info
On csauthors.net:
Bibliography
2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the Geometric Science of Information  5th International Conference, 2021
2020
Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective.
Neural Comput., 2020
2019
Information Geometry for Regularized Optimal Transport and Barycenters of Patterns.
Neural Comput., 2019
Pathological spectra of the Fisher information metric and its variants in deep neural networks.
CoRR, 2019
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Neural Comput., 2018
CoRR, 2018
2017
Information Geometry Connecting Wasserstein Distance and KullbackLeibler Divergence via the EntropyRelaxed Transportation Problem.
CoRR, 2017
CoRR, 2017
Proceedings of the Geometric Science of Information  Third International Conference, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Inf. Theory, 2016
IEEE Trans. Inf. Theory, 2016
PLoS Comput. Biol., 2016
Dynamical analysis of contrastive divergence learning: Restricted Boltzmann machines with Gaussian visible units.
Neural Networks, 2016
Adaptive Natural Gradient Learning Algorithms for Unnormalized Statistical Models.
Proceedings of the Artificial Neural Networks and Machine Learning  ICANN 2016, 2016
Maximum likelihood learning of RBMs with Gaussian visible units on the Stiefel manifold.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
Neural Comput., 2015
Entropy, 2015
Entropy, 2015
CoRR, 2015
Proceedings of the Geometric Science of Information  Second International Conference, 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Can CriticalPoint Paths Under ℓ<sub>p</sub>Regularization (0<p<1) Reach the Sparsest Least Squares Solutions?
IEEE Trans. Inf. Theory, 2014
Sparse Representation for Brain Signal Processing: A tutorial on methods and applications.
IEEE Signal Process. Mag., 2014
Entropy, 2014
Information Geometry of Positive Measures and PositiveDefinite Matrices: Decomposable Dually Flat Structure.
Entropy, 2014
CoRR, 2014
2013
Neural Networks, 2013
IEEE J. Sel. Top. Signal Process., 2013
CoRR, 2013
Proceedings of the Geometric Science of Information  First International Conference, 2013
2012
StateSpace Analysis of TimeVarying HigherOrder Spike Correlation for Multiple Neural Spike Train Data.
PLoS Comput. Biol., 2012
IEEE Trans. Pattern Anal. Mach. Intell., 2012
Identification of Directed Influence: Granger Causality, KullbackLeibler Divergence, and Complexity.
Neural Comput., 2012
Neural Comput., 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
2011
IEEE Trans. Medical Imaging, 2011
IEEE Trans. Inf. Theory, 2011
Neural Comput., 2011
Neural Comput., 2011
Frontiers Comput. Neurosci., 2011
Generalized AlphaBeta Divergences and Their Application to Robust Nonnegative Matrix Factorization.
Entropy, 2011
Entropy, 2011
Data compression in multiterminal statistical inference  linearthreshold encoding.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
2010
Two conditions for equivalence of 0norm solution and 1norm solution in sparse representation.
IEEE Trans. Neural Networks, 2010
Neural Comput., 2010
Families of Alpha Beta and Gamma Divergences: Flexible and Robust Measures of Similarities.
Entropy, 2010
Dually flat structure with escort probability and its application to alphaVoronoi diagrams
CoRR, 2010
Proceedings of the Unconventional Computation  9th International Conference, 2010
Proceedings of the TwentyThird IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
alphadivergence is unique, belonging to both fdivergence and Bregman divergence classes.
IEEE Trans. Inf. Theory, 2009
InformationGeometric Measures as Robust Estimators of Connection Strengths and External Inputs.
Neural Comput., 2009
Neural Comput., 2009
Representative and Discriminant Feature Extraction Based on NMF for Emotion Recognition in Speech.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Nonnegative Matrix and Tensor Factorizations  Applications to Exploratory Multiway Data Analysis and Blind Source Separation.
Wiley, ISBN: 9780470747278, 2009
2008
Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation.
IEEE Trans. Neural Networks, 2008
IEEE Trans. Neural Networks, 2008
Neural Networks, 2008
Neural Comput., 2008
Neural Comput., 2008
Neural Comput., 2008
A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibuloocularreflex learning.
J. Comput. Neurosci., 2008
Information Geometry and Its Applications: Convex Function and Dually Flat Manifold.
Proceedings of the Emerging Trends in Visual Computing, 2008
2007
IEEE Trans. Neural Networks, 2007
Neural Comput., 2007
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering.
BMC Bioinform., 2007
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
2006
IEEE Trans. Signal Process., 2006
Global Exponential Stability of Multitime Scale Competitive Neural Networks With Nonsmooth Functions.
IEEE Trans. Neural Networks, 2006
Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach.
IEEE Trans. Neural Networks, 2006
Probability Estimation for Recoverability Analysis of Blind Source Separation Based on Sparse Representation.
IEEE Trans. Inf. Theory, 2006
Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis.
IEEE Trans. Biomed. Eng., 2006
A Comparison of Descriptive Models of a Single Spike Train by InformationGeometric Measure.
Neural Comput., 2006
Neural Comput., 2006
Neural Comput., 2006
Neural Comput., 2006
Proceedings of the Advances in Neural Networks  ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Online Learning Dynamics of Radial Basis Function Neural Networks near the Singularity.
Proceedings of the International Joint Conference on Neural Networks, 2006
New Algorithms for NonNegative Matrix Factorization in Applications to Blind Source Separation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the Artificial Intelligence and Soft Computing, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Analysis of Feasible Solutions of the ICA Problem Under the OneBitMatching Condition.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Analysis of Source Sparsity and Recoverability for SCA Based Blind Source Separation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Csiszár's Divergences for Nonnegative Matrix Factorization: Family of New Algorithms.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
2005
IEEE Trans. Inf. Theory, 2005
Systems and Computers in Japan, 2005
New Gener. Comput., 2005
Neural Comput., 2005
Neural Comput., 2005
Neurocomputing, 2005
Unbiased Estimator of Shape Parameter for Spiking Irregularities under Changing Environments.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Advances in Neural Networks  ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
2004
Gradient Adaptive Paraunitary Filter Banks for SpatioTemporal Subspace Analysis and Multichannel Blind Deconvolution.
J. VLSI Signal Process., 2004
Multichannel blind deconvolution of nonminimumphase systems using filter decomposition.
IEEE Trans. Signal Process., 2004
IEEE Trans. Neural Networks, 2004
From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability.
IEEE Trans. Neural Networks, 2004
IEEE Trans. Inf. Theory, 2004
Information processing in a neuron ensemble with the multiplicative correlation structure.
Neural Networks, 2004
Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC.
Neural Comput., 2004
Neural Comput., 2004
Neural Comput., 2004
Improved Parameter Estimation for Variancestabilizing Transformation of Geneexpression Microarray Data.
J. Bioinform. Comput. Biol., 2004
Beyond ICA: robust sparse signal representations.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
2003
A robust approach to independent component analysis of signals with highlevel noise measurements.
IEEE Trans. Neural Networks, 2003
Systems and Computers in Japan, 2003
Probl. Inf. Transm., 2003
Neural Networks, 2003
Neuroscience data and tool sharing  A legal and policy framework for neuroinformatics.
Neuroinformatics, 2003
Neural Comput., 2003
Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities.
Neural Comput., 2003
Neural Comput., 2003
J. Mach. Learn. Res., 2003
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003
Gene Interaction in DNA Microarray Data Is Decomposed by Information Geometric Measure.
Bioinform., 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the ESANN 2003, 2003
2002
On a new blind signal extraction algorithm: different criteria and stability analysis.
IEEE Signal Process. Lett., 2002
Probl. Inf. Transm., 2002
Conformal Transformation of Kernel Functions A Data Dependent Way to Improve Support Vector Machine Classifiers.
Neural Process. Lett., 2002
Attention modulation of neural tuning through peak and base rate in correlated firing.
Neural Networks, 2002
Online learning in changing environments with applications in supervised and unsupervised learning.
Neural Networks, 2002
Neural Networks, 2002
Neural Comput., 2002
Neural Comput., 2002
Neural Comput., 2002
Neural Comput., 2002
Neurocomputing, 2002
Independent component analysis for unaveraged singletrial MEG data decomposition and singledipole source localization.
Neurocomputing, 2002
Neurocomputing, 2002
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2002
The Effect of Singularities in a Learning Machine when the True Parameters Do Not Lie on such Singularities.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the 2002 IEEE Information Theory Workshop, 2002
Information Geometry of Neural Learning and Belief Propagation.
Proceedings of the FSDK'02, 2002
Adaptive Blind Signal and Image Processing  Learning Algorithms and Applications.
Wiley, ISBN: 9780471607915, 2002
2001
IEEE Trans. Neural Networks, 2001
IEEE Trans. Inf. Theory, 2001
Signal Process., 2001
Neural Process. Lett., 2001
Unified stabilization approach to principal and minor components extraction algorithms.
Neural Networks, 2001
Neural Networks, 2001
Neural Comput., 2001
Neural Comput., 2001
Neural Comput., 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Equiconvergence Algorithm for Blind Separation of Sources with Arbitrary Distributions.
Proceedings of the Bioinspired Applications of Connectionism, 2001
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction.
Proceedings of the Bioinspired Applications of Connectionism, 2001
Generalization Error and Training Error at Singularities of Multilayer Perceptrons.
Proceedings of the Connectionist Models of Neurons, 2001
2000
J. VLSI Signal Process., 2000
IEEE Trans. Signal Process., 2000
IEEE Trans. Biomed. Eng., 2000
Neural Networks, 2000
Neural Networks, 2000
Mutual information of sparsely coded associative memory with selfcontrol and ternary neurons.
Neural Networks, 2000
Adaptive Method of Realizing Natural Gradient Learning for Multilayer Perceptrons.
Neural Comput., 2000
Neural Comput., 2000
Estimating Functions of Independent Component Analysis for Temporally Correlated Signals.
Neural Comput., 2000
J. Comput. Syst. Sci., 2000
Neurocomputing, 2000
An Efficient Learning Algorithm Using Naturla Gradient and Second Order Information of Error Surface.
Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000
Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000
Proceedings of the IEEEINNSENNS International Joint Conference on Neural Networks, 2000
Iterative Design of Regularizers Based on Data by Minimizing Generalization Errors.
Proceedings of the IEEEINNSENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
1999
IEEE Trans. Signal Process., 1999
IEEE Trans. Signal Process., 1999
IEEE Trans. Neural Networks, 1999
Natural gradient algorithm for blind separation of overdetermined mixture with additive noise.
IEEE Signal Process. Lett., 1999
Signal Process., 1999
Neural Networks, 1999
Neural Networks, 1999
Blind Separation of a Mixture of Uniformly Distributed Source Signals: A Novel Approach.
Neural Comput., 1999
Neural Comput., 1999
Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
Two spatiotemporal decorrelation learning algorithms and their application to multichannel blind deconvolution.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
1998
A common neuralnetwork model for unsupervised exploratory data analysis and independent component analysis.
IEEE Trans. Neural Networks, 1998
IEEE Trans. Inf. Theory, 1998
IEEE Signal Process. Lett., 1998
Informationtheoretic approach to blind separation of sources in nonlinear mixture.
Signal Process., 1998
Neural Networks, 1998
Complexity Issues in Natural Gradient Descent Method for Training MultiLayer Perceptrons.
Neural Comput., 1998
Neural Comput., 1998
Neurocomputing, 1998
Neurocomputing, 1998
Strategy Under the Unknown Stochastic Environment: The Nonparametric LobPass Problem.
Algorithmica, 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
Information Geometry of NeuroManifolds.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Future Perspective of 'Creating Brain' Program.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
1997
IEEE Trans. Signal Process., 1997
IEEE Trans. Neural Networks, 1997
Neural Networks, 1997
Adaptive Online Learning Algorithms for Blind SeparationMaximization Entropy and Minimum Mutual Information.
Neural Comput., 1997
Neural Comput. Appl., 1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Statistical Analysis of Regularization Constant  From Bayes, MDL and NIC Points of View.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997
Adaptive Blind Deconvolution and Equalization with SelfAdaptive Nonlinearities: An Informationtheoretic Approach.
Proceedings of the Progress in ConnectionistBased Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
Natural Gradient Learning Algorithms for Decorrelation.
Proceedings of the Progress in ConnectionistBased Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
NonHolonomic Constraints in Learning Blind Source Separation.
Proceedings of the Progress in ConnectionistBased Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Independent component analysis by the informationtheoretic approach with mixture of densities.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
Nonlinearity and separation capability: further justification for the ICA algorithm with mixture of densities.
Proceedings of the ESANN 1997, 1997
1996
IEEE Trans. Neural Networks, 1996
A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks.
Neural Comput., 1996
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
Proceedings of the Artificial Neural Networks, 1996
Proceedings of the 8th European Signal Processing Conference, 1996
1995
IEEE Trans. Inf. Theory, 1995
Neural Networks, 1995
Neural Comput., 1995
Statistical Theory of Overtraining  Is CrossValidation Asymptotically Effective?
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
Proceedings of the 2nd New Zealand TwoStream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995
1994
Network information criteriondetermining the number of hidden units for an artificial neural network model.
IEEE Trans. Neural Networks, 1994
Systems and Computers in Japan, 1994
Neural Comput., 1994
Differential geometric structures of stable state feedback systems with dual connections.
Kybernetika, 1994
1993
Neural Networks, 1993
Neural Networks, 1993
Neural Comput., 1993
Neurocomputing, 1993
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993
1992
IEEE Trans. Neural Networks, 1992
Identifiability of hidden Markov information sources and their minimum degrees of freedom.
IEEE Trans. Inf. Theory, 1992
Neural Networks, 1992
Neural Comput., 1992
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992
1991
Neural Networks, 1991
New Gener. Comput., 1991
1990
Proceedings of the IJCNN 1990, 1990
1989
Statistical inference under multiterminal rate restrictions: A differential geometric approach.
IEEE Trans. Inf. Theory, 1989
Neural Networks, 1989
1988
Neural Networks, 1988
Proceedings of International Conference on Neural Networks (ICNN'88), 1988
1987
Systems and Computers in Japan, 1987
Differential Geometry of a Parametric Family of Invertible Linear Systems  Riemannian Metric, Dual Affine Connections, and Divergence.
Math. Syst. Theory, 1987
1983
IEEE Trans. Syst. Man Cybern., 1983
1979
Theory of SelfOrganizing Nerve Nets with Special Reference to Association and Concept Formation.
Proceedings of the Sixth International Joint Conference on Artificial Intelligence, 1979
1972
IEEE Trans. Syst. Man Cybern., 1972
Learning Patterns and Pattern Sequences by SelfOrganizing Nets of Threshold Elements.
IEEE Trans. Computers, 1972
1967
IEEE Trans. Electron. Comput., 1967