Shun-ichi Amari
Orcid: 0000-0001-8860-8675Affiliations:
- RIKEN CBS, Wako-shi, Japan
According to our database1,
Shun-ichi Amari
authored at least 274 papers
between 1967 and 2023.
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 Dataset OtherLinks
Online presence:
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on zbmath.org
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on id.loc.gov
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on d-nb.info
On csauthors.net:
Bibliography
2023
Deep learning in random neural fields: Numerical experiments via neural tangent kernel.
Neural Networks, March, 2023
2021
Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks.
Neural Comput., 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
Neural Comput., 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
2017
Information Geometry Connecting Wasserstein Distance and Kullback-Leibler Divergence via the Entropy-Relaxed Transportation Problem.
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
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
Entropy, 2015
CoRR, 2015
Proceedings of the Geometric Science of Information - Second International Conference, 2015
Proceedings of the Geometric Science of Information - Second International Conference, 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Can Critical-Point 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 Positive-Definite Matrices: Decomposable Dually Flat Structure.
Entropy, 2014
2013
IEEE J. Sel. Top. Signal Process., 2013
Proceedings of the Geometric Science of Information - First International Conference, 2013
2012
State-Space Analysis of Time-Varying Higher-Order 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, Kullback-Leibler Divergence, and Complexity.
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 Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization.
Entropy, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
2010
Two conditions for equivalence of 0-norm solution and 1-norm solution in sparse representation.
IEEE Trans. Neural Networks, 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 alpha-Voronoi diagrams
CoRR, 2010
Proceedings of the Unconventional Computation - 9th International Conference, 2010
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
alpha-divergence is unique, belonging to both f-divergence and Bregman divergence classes.
IEEE Trans. Inf. Theory, 2009
Information-Geometric Measures as Robust Estimators of Connection Strengths and External Inputs.
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 Multi-way Data Analysis and Blind Source Separation.
Wiley, ISBN: 978-0-470-74727-8, 2009
2008
Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation.
IEEE Trans. Neural Networks, 2008
IEEE Trans. Neural Networks, 2008
IEEE Signal Process. Mag., 2008
Neural Networks, 2008
A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning.
J. Comput. Neurosci., 2008
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 Information-Geometric Measure.
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 Non-Negative 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 One-Bit-Matching 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 Non-negative Matrix Factorization: Family of New Algorithms.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
2005
Neural Comput., 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 Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution.
J. VLSI Signal Process., 2004
Multichannel blind deconvolution of nonminimum-phase 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
Improved Parameter Estimation for Variance-stabilizing Transformation of Gene-expression 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 high-level noise measurements.
IEEE Trans. Neural Networks, 2003
Syst. Comput. Jpn., 2003
Neuroscience data and tool sharing - A legal and policy framework for neuroinformatics.
Neuroinformatics, 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 11th European Symposium on Artificial Neural Networks, 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
On-line learning in changing environments with applications in supervised and unsupervised learning.
Neural Networks, 2002
Neural Comput., 2002
Neural Comput., 2002
Neural Comput., 2002
Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization.
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
Wiley, ISBN: 978-0-471-60791-5, 2002
2001
IEEE Trans. Inf. Theory, 2001
Signal Process., 2001
Unified stabilization approach to principal and minor components extraction algorithms.
Neural Networks, 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
Equi-convergence Algorithm for Blind Separation of Sources with Arbitrary Distributions.
Proceedings of the Bio-inspired Applications of Connectionism, 2001
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction.
Proceedings of the Bio-inspired Applications of Connectionism, 2001
Proceedings of the Connectionist Models of Neurons, 2001
2000
IEEE Trans. Biomed. Eng., 2000
Neural Networks, 2000
Neural Networks, 2000
Mutual information of sparsely coded associative memory with self-control and ternary neurons.
Neural Networks, 2000
Neural Comput., 2000
Neural Comput., 2000
Estimating Functions of Independent Component Analysis for Temporally Correlated Signals.
Neural Comput., 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 IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
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
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 spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
1998
A common neural-network model for unsupervised exploratory data analysis and independent component analysis.
IEEE Trans. Neural Networks, 1998
IEEE Trans. Inf. Theory, 1998
Signal Process., 1998
Neural Networks, 1998
Complexity Issues in Natural Gradient Descent Method for Training Multi-Layer Perceptrons.
Neural Comput., 1998
Neurocomputing, 1998
Strategy Under the Unknown Stochastic Environment: The Nonparametric Lob-Pass Problem.
Algorithmica, 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
Information Geometry of Neuro-Manifolds.
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 On-line Learning Algorithms for Blind Separation-Maximization 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
Training Multi-Layer Perceptrons by Natural Gradient Descent.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach.
Proceedings of the Progress in Connectionist-Based 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 Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
Annealed On-Line Learning in a Nonlinear Neural Net.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
Non-Holonomic Constraints in Learning Blind Source Separation.
Proceedings of the Progress in Connectionist-Based 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 information-theoretic 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 5th Eurorean Symposium on Artificial Neural Networks, 1997
1996
IEEE Trans. Neural Networks, 1996
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
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 Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995
1994
Network information criterion-determining the number of hidden units for an artificial neural network model.
IEEE Trans. Neural Networks, 1994
Syst. Comput. Jpn., 1994
Neural Comput., 1994
Differential geometric structures of stable state feedback systems with dual connections.
Kybernetika, 1994
1993
Neural Networks, 1993
Neural Comput., 1993
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993
1992
Identifiability of hidden Markov information sources and their minimum degrees of freedom.
IEEE Trans. Inf. Theory, 1992
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992
1991
1990
1989
Statistical inference under multiterminal rate restrictions: A differential geometric approach.
IEEE Trans. Inf. Theory, 1989
1988
Proceedings of International Conference on Neural Networks (ICNN'88), 1988
1987
Differential Geometry of a Parametric Family of Invertible Linear Systems - Riemannian Metric, Dual Affine Connections, and Divergence.
Math. Syst. Theory, 1987
1983
1979
Theory of Self-Organizing 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 Self-Organizing Nets of Threshold Elements.
IEEE Trans. Computers, 1972
1967