Lab. for Mathematical Neuroscience, RIKEN Brain Science Institute
English proceedings & book list

2004

• Sparse representation and its applications in blind source separation
  Li Yuanqing, Cichocki Andrzej, Amari Shun-ichi, Shishkin Sergei, Cao Jian-ting, Gu Fanji
  Advances in Neural Information Processing Systems 16, 241-248, 12/2003, Vancouver, Canada.
  
  
• Mechanism of neural interference by transcranial magnetic stimulation: network or single neuron?
  Miyawaki Yoichi, Okada Masato
  Advances in Neural Information Processing Systems, vol.16, 12/2003, Vancouver, Canada.
  
  

2003

• New consideration on criteria of model selection
  Amari Shun-ichi, Rutkowski Leszek, Kacprzyk Janusz
  Neural Networks and Soft Computing, 25-30, 6/2003, Zakopane, Poland.
  
  
• On some singularities in parameter estimation problems
  Amari Shun-ichi, Burnashev Marat V.
  Proceedings 2003 IEEE International Symposium on Information Theory, 229, 6-7/2003, Yokohama, Japan.
  
  
• Information geometry of loopy BP
  Ikeda Shiro, Tanaka Toshiyuki, Amari Shun-ichi
  Proceedings of 13th International Conference on Artificial Neural Networks and 10th International Conference on Neural Information Processing (ICANN/ICONIP2003), 54-57, 6/2003, Istanbul, Turkey.
  
  
• Sparse component analysis for blind source separation with less sensors than sources
  Li Yuanging, Cichocki Andrzej, Amari Shun-ichi, Amari Shun-ichi, others .
  Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), 89-94, 4/2003, Nara, Japan.
  
  
• Equivalence between semantic security and indistinguishability against chosen ciphertext attacks
  Watanabe Yodai, Shikata Junji, Imai Hideki, Desmedt Yvo G.
  Proceedings of Public Key Cryptography (PKC 2003), 71-84, 1/2003, Miami, USA.
  
  
• 
  Cichocki Andrzej, Amari Shun-ichi
  Adaptive Blind Signal and Image Processing, 2003.
  
  

2002

• Self-regulation mechanism of Temporally Asymmetric Hebbian plasticity
  Matsumoto Narihisa, Okada Masato, Dietterich Thomas G., Becker Suzanna, Ghahramani Zoubin
  Advances in Neural Information Processing Systems 14, Vol. 1, 245-252, 12/2002, Vancouver, Canada.
  
  
• Information-geometric decomposition in spike analysis
  Nakahara Hiroyuki, Amari Shun-ichi, Dletterlch T G, Becker S, Ghahramanl Z
  Advances in Neural Information Processing Systems 14, Vol. 1, 253-260, 12/2002, Vancouver, Canada.
  
  
• Geometrical singularities in the neuromanifold of multilayer perceptrons
  Amari Shun-ichi, Park Hyeyoung, Ozeki Tomoko, Dietterich Thomas G., Becker Suzanna, Ghahramani Zoubin
  Advances in Neural Information Processing Systems 14, Vol. 1, 343-350, 12/2002, Vancouber, Canada.
  
  
• Information geometrical framework for analyzing belief propagation decoder
  Ikeda Shiro, Tanaka Toshiyuki, Amari Shun-ichi, Dietterich Thomas G., Becker Suzanna, Ghahramani Zoubin
  Advances in Neural Information Processing Systems 14, Vol. 1, 407-414, 12/2002.
  
  
• Information-geometrical significance of sparsity in Gallager code
  Tanaka Toshiyuki, Ikeda Shiro, Amari Shun-ichi, Dietterich Thomas G., Becker Suzanna, Ghahramani Zoubin
  Advances in Neural Information Processing Systems 14, Vol. 1, 527-534, 12/2002, Vancouver, Canada.
  
  
• Reconsideration to pruning and regularization for complexity optimization in neural networks
  Park Hyeyoung, Lee Hyunjin, Wang Lipo, Rajapakse Jagath C., Fukushima Kunihiko, others
  Proceedings of the 9th International Conference on Neural Information Processing (ICONIP'02), 1649-1653, 11/2002, Singapore, Singapore.
  
  
• Modelling iterative roots of mappings in multidimensional spaces
  Kindermann Lars, Georgiev Pando Grigorov, Wang Lipo, Rajapakse Jagath C., Fukushima Kunihito, others
  Proceedings of the 9th International Conference on Neural Information Processing (ICONIP'02), 2655-2659, 11/2002, Singapore, Singapore.
  
  
• Information geometry of statistical inference: An overview
  Amari Shun-ichi
  Proceedings of the 2002 IEEE Information Theory Workshop, 86-89, 10/2002, Bangalore, India.
  
  
• Quantum universal variable-length source coding
  Hayashi Masahito, Matsumoto Keiji
  Proc. ERATO Workshop on Quantum Information Science 2002, 31-32, 9/2002, Tokyo, Japan.
  
  
• Error exponents for entanglement concentration
  Morikoshi Fumiaki, Hayashi Masahito, Koashi Masato, Matsumoto Keiji, Winter Andreas
  Proc. ERATO Workshop on Quantum Information Science 2002, 46-47, 9/2002, Tokyo, Japan.
  
  
• Finding the optimal continuous model for discrete data by neural network interpolation of fractional iteration
  Kindermann Lars, Lewandowski Achim, Protzel Peter, Dorronso Jose R
  Artificial Neural Networks - ICANN 2002 (Lecture Notes in Computer Science, Vol. 2415), 1094-1099, 8/2002, Madrid, Spain.
  
  
• A statistical identification and verification method for biometrics
  Lee Kwanyong, Park Hyeyoung, Isizuka Mitsuru, Sattar Abdul
  Proceedings of PRICAI 2002: Trends in Artificial Intelligence, 611, 8/2002, Tokyo, Japan.
  
  
• Network optimization through learning and pruning in neuromanifold
  Lee Hyunjin, Park Hyeyoung, Lee Yillbyung, Ishizuka Mitsuru, Sattar Abdul
  Proceedings of PRICAI 2002: Trends in Artificial Intelligence, 169-177, 8/2002, Tokyo, Japan.
  
  
• Superconvergence concept in machine learning
  Geczy Peter, Amari Shun-ichi, Usui Shiro, Sincak Peter, Vascak Jan, Kvasnicka Vladimir, Pospichal Jiri
  Intelligent Technologies-Theory and Applications: New Trends in Intelligent Technologies, 3-9, 6/2002, Kosice, Slovakia.
  
  
• General formulas for capacity of classical-quantum channels
  Hayashi Masahito, Nagaoka Hiroshi
  Proceedings of 2002 IEEE International Symposium on Information Theory, 71, 6-7/2002, Lausanne, Swizerland.
  
  
• Statistical mechanics of data compression theorem
  Murayama Tatsuto
  Proceedings of 2002 IEEE International Symposium on Information Theory, 254, 6-7/2002, Lausanne, Switzerland.
  
  
• Physics without laws : Making exact predictions with Data based methods
  Kindermann Lars, Protzel Peter
  Proceedings of the 2002 International Joint Conference on Neural Networks (IJCNN '02)(CD-ROM), - , 5/2002, Honolulu, USA.
  
  
• Natural gradient learning for second-order nonstationary source separation
  Choi Seungjin, Cichocki Andrzej, Amari Shun-ichi
  Proceedings of the 2002 International Joint Conference on Neural Networks (IJCNN '02)(CD-ROM), 654-658, 5/2002, Honolulu, USA.
  
  
• Intelligent adaptable systems
  Geczy Peter, Usui Shiro, Amari Shun-ichi
  Proceedings of the 2002 World Congress on Computational Intelligence (WCCI 2002), 1736-1741, 5/2002, Honolulu, USA.
  
  
• Learning and statistical inference
  Amari Shun-ichi, Arbib Michael A.
  The Handbook of Brain Theory and Neural Networks 2nd ed., 624-628, 2002.
  
  
• Neuromanifolds and information geometry
  Amari Shun-ichi, Arbib Michael A.
  The Handbook of Brain Theory and Neural Networks 2nd ed., 754-757, 2002.
  
  
• TLS and its improvements by semiparametric approach
  Amari Shun-ichi, Kawanabe Motoaki, vanHuffel Sabine, Lemmerling Philippe
  Total Least Squares and Errors-in-Variables Modeling, 15-24, 2002.
  
  

2001

• Blind gene classification based on ICA of microarray data
  Hori Gen, Inoue Masato, Nishimura Shinichi, Nakahara Hiroyuki
  Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, 332-336, 12/2001, San Diego, USA.
  
  
• On some extensions of the natural gradient algorithm
  Georgiev Pando Grigorov, Cichocki Andrzej, Amari Shun-ichi
  Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, 581-585, 12/2001, San Diego, USA.
  
  
• Criteria for the simultaneous blind extraction of arbitrary groups of sources
  Cruces Sergio, Cichocki Andrzej, Amari Shun-ichi
  Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, 740-745, 12/2001, San Diego, USA.
  
  
• Forty Years of Perceptrons
  Amari Shun-ichi
  Neural Information Processing: ICONIP2001 Proceedings Vol. 1, 3-7, 11/2001, Shanghai, China.
  
  
• Belief propagation and turbo code: Information geometrical view
  Ikeda Shiro, Tanaka Toshiyuki, Amari Shun-ichi, Zhang Liming, Gu Fanji
  Neural Information Processing: ICONIP2001 Proceedings Vol. 1, 41-46, 11/2001, Shanghai, China.
  
  
• Superlinear first order conjugate gradient learning algorithm
  Geczy Peter, Usui Shiro, Zhang Liming, Gu Fanji
  Neural Information Processing: ICONIP2001 Proceedings Vol. 1, 53-57, 11/2001, Shanghai, China.
  
  
• Stability Analysis of Dynamic Systems in Neural Network
  Chen Tianping, Amari Shun-ichi
  Neural Information Processing: ICONIP2001 Proceedings Vol. 2, 999-1005, 11/2001, Shanghai, China.
  
  
• A framework for solving functional equations with neural networks
  Kindermann Lars, Lewandowski Achim, Protzel Peter, Zhang Liming, Gu Fanji
  Neural Information Processing: ICONIP2001 Proceedings Vol. 2, 1075-1078, 11/2001, Shanghai, China.
  
  
• A hybrid approach to complexity optimization of neural networks
  Lee Hyunjin, Jee Taechang, Park Hyeyoung, Lee Yillbyung
  Proceedings of 8th International Conference on Neural Information Processing, 1455-1460, 11/2001, Shanghai, China.
  
  
• Natural gradient learning in multilayer perceptrons
  Amari Shun-ichi, Park Hyeyoung, Ozeki Tomoko
  Proceedings of the Joint Symposium for Advanced Science and Technology, 153-158, 10/2001, Hatoyama, Japan.
  
  
• Nonlinear dynamical system generalizing the natural gradient algorithm
  Georgiev Pando Grigorov, Cichocki Andrzej, Amari Shun-ichi
  Proceeindgs of 2001 International Symposium on Nonlinear Theory and its Applications (NOLTA2001), 391-394, 10-11/2001, Zao, Japan.
  
  
• Singularities in learning models: Gaussian random field approach
  Amari Shun-ichi, Ozeki Tomoko, Park Hyeyoung, Baba N., Jain L C, Howlett R. J.
  Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies (KES'2001) Part 2, 1565-1569, 9/2001, Osaka, Nara, Japan.
  
  
• A novel concept for first order learning algorithm design
  Geczy Peter, Usui Shiro
  Proceedings of the 2001 International Joint Conference on Neural Networks, 382-387, 7/2001, Washington D. C., USA.
  
  
• The minimum entropy and cumulants based contrast functions for blind source extraction
  Cruces Sergio, Cichocki Andrzej, Amari Shun-ichi, Mira J., Prieto A.
  Bio-Inspired Applications of Connectionism: Proceedings of 6th International Work-Conference on Artificial and Natural Networks (IWANN 2001), 786-793, 6/2001, Granada, Spain.
  
  
• Equi-convergence Algorithm for blind separation of source with arbitrary distributions
  Zhang Li-qing, Amari Shun-ichi, Cichocki Andrzej, Mira J., Prieto A.
  Bio-Inspired Applications of Connectionism: Proceedings of 6th International Work-Conference on Artificial and Natural Networks (IWANN 2001), 826-833, 6/2001, Granada, Spain.
  
  
• Practical consideration on generalization property on natural gradient learning
  Park Hyeyoung
  Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence, 402-409, 6/2001, Granada, Spain.
  
  
• Approximate maximum likelihood source separation using the natural gradient
  Choi Seungjin, Cichocki Andrzej, Zhang Liqing, Amari Shun-ichi
  Proceedings of the 2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01), 235-238, 3/2001, Taoyuan, Taiwan.
  
  
• Information geometry of $\alpha$-projection in mean field approximation
  Amari Shun-ichi, Ikeda Shiro, Shimokawa Hidetoshi, Opper Manfred, Saad David
  Advanced Mean Field Methods: Theory and Practice, 241-257, 2001.
  
  

2000

• Kalman filter and state-space approach to blind deconvolution
  Zhang Liqing, Cichocki Andrzej, Amari Shun-ichi, Widrow Bernard, Guan Ling, Paliwa Kuldip, Adali Tulay, Larsen Jan, Wilson Elizabeth, Douglas Scott
  Neural Networks for Signal Processing X: Proceedings of the 2000 IEEE Signal Processing Society Workshop, 425-434, 12/2000, Sydney, Australia.
  
  
• Estimating function approach to multichannel blind deconvolution
  Zhang Liqing, Amari Shun-ichi, Cichocki Andrzej
  Proceedings of IEEE Asia Pacific Conference on Circuits and Systems(APCCAS 2000), 587-590, 12/2000, Tianjin, China.
  
  
• Information geometry of adaptive sysmtes
  Amari Shun-ichi, Ozeki Tomoko, Park Hyeyoung
  Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (AS-SPCC), 12-17, 10/2000, Alberta, Canada.
  
  
• Independent features analysis for MEG recorded auditory evoked fields task data
  Cao Jianting, Murata Noboru, Amari Shun-ichi, Cichocki Andrzej, Endo Hiroshi, Harada Nobuyoshi, Taketa Tsunehiro
  Proceedings of 2000 International Symposium on Nonlinear Theory and Its Applications (NOLTA2000), 257-260, 9/2000, Dresden, Germany.
  
  
• A relationship between countinuous wavelet transformation and algebra su(1,1)
  Sakaguchi Fuminori, Hayashi Masahito, IASTED
  Proceedings of the IASTED International Conference on Signal Processing and Communications(SPC 2000), 390-394, 9/2000, Marbella, Spain.
  
  
• Local stability analysis of flexible independent component analysis algorithm
  Choi Seungjin, Cichocki Andrzej, Amari Shun-ichi
  Proceedings of 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing, 3426-3429, 6/2000, Istanbul, Turkey.
  
  
• BSC: Testing of hypotheses with information constraints
  Burnashev Marat V., Amari Shun-ichi, Han Te Sun, I. Althofer et al.
  Numbers, Information and Complexity, 489-500, 2000.
  
  
• Neural mechanism for learning of sequential procedures
  Hikosaka Okihide, Sakai Katuyuki, Nakahara Hiroyuki, Lu Xiaofend, Miyachi Shigehiro, Nakamura Kae, Rand Miya K., Gazzaniga Michael S.
  The New Cognitive Neurosciences, 553-572, 2000.
  
  
• Natural-gradient adaptation
  Douglas Scott C., Amari Shun-ichi, Haykin Simon
  Unsupervised Adaptive Filtering , 13-61, 2000.
  
  
• Blind signal separation and extraction: Neural and information-theoretic approaches
  Amari Shun-ichi, Cichocki Andrzej, Yang Howard Hua, Haykin Simon
  Unsupervised Adaptive Filtering , 63-138, 2000.
  
  

1999

• Population decoding based on an unfaithful model
  Wu Si, Nakahara Hiroyuki, Murata Noboru, Amari Shun-ichi, Solla S. A.
  Advances in Nural Information Processing Systems , 192-198, 12/1999, Denver, USA.
  
  
• Semiparametric approach to blind separation of dynamic systems
  Zhang Liqing, Cichocki Andrzej, Amari Shun-ichi, Takakubo H., Kohda T., Trajkovic L.
  Proceedings of 1999 International Symposium on Nonlinear Theory and its Applications(NOLTA'99), 707-710, 11-12/1999, Hawaii, USA.
  
  
• Independent source separation and localization for single-trial magnetoencephalographic data
  Cao Jianting, Murata Noboru, Amari Shun-ichi, Takakubo H., Kohda T., Trajkovic L.
  Proceedings of 1999 International Symposium on Nonlinear Theory and its Applications(NOLTA'99), 719-722, 11-12/1999, Hawaii, USA.
  
  
• Multichannel blind deconvolution of non-minimum phase systems using information backpropagation
  Zhang Liqing, Cichocki Andrzej, Amari Shun-ichi, Gedeon T., Wong P., Halgamuge S., Kasabov N., Nauck D., Fukushima K.
  Proceedings of 6th International Conference on Neural Information Processing (ICONIP'99), 210-216, 11/1999, Perth, Australia.
  
  
• A gradient based technique for generating sparse representation in function approximation
  Vijayakumar Sethu, Wu Si
  Proceedings of 6th International Conference on Neural Information Processing (ICONIP'99), 314-319, 11/1999, Perth, Australia.
  
  
• Optimize the distribution of preferred stimulus in population code
  Wu Si, Nakahara Hiroyuki
  Proceedings of 6th International Conference on Neural Information Processing (ICONIP'99), 326-329, 11/1999, Perth, Australia.
  
  
• An information-geometrical method for improving the performance of support vector machine classifiers
  Amari Shun-ichi, Wu Si
  9th International Conference on Artifical Neural Networks, 85-90, 9/1999, Edinburgh, UK.
  
  
• Geometrical structures of FIR manifold and their application to multichannel blind deconvolution
  Zhang Liqing, Cichocki Andrzej, Amari Shun-ichi, Hu Yu-Hen, Larsen Jan, Wilson Elizabeth, Douglas Scott
  Neural Networks for Signal Processing IX (Proceedings of the 1999 IEEE Workshop), 303-312, 8/1999, Madison, USA.
  
  
• Multiple representations and algorithms for sequence learning
  Doya Kenji, Nakahara Hiroyuki, Bapi Raju S., Hikosaka Okihide
  Proceedings of the 2nd International Conference on Cognitive Science and The 16th Annual Meeting of the Japanese Cognitive Science Society Joint Conference, 17-19, 7/1999, Tokyo, Japan.
  
  
• Sequential support vector classifiers and regression
  Vijayakumar Sethu, Wu Si, Parenti R., Masulli F.
  Proceedings of the third International ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 610-619, 6/1999, Genova, Italy.
  
  
• Nonlinear dynamic independent component analysis using state-space and neural network models
  Cichocki Andrzej, Zhang Liqing, Choi Seungjin, Amari Shun-ichi
  Proceedings of First International Workshop on Independent Component Analysis and Signal Separation (ICA'99), 99-104, 1/1999, Aussois, France.
  
  
• Natural gradient learning with a nonholonomic constraint for blind deconvolution of multiple channels
  Choi Seungjin, Amari Shun-ichi, Cichocki Andrzej, Lui Ruey-wen
  Proceedings of First International Workshop on Independent Component Analysis and Signal Separation (ICA'99), 371-376, 1/1999, Aussois, France.
  
  
• Natural gradient approach to blind separation of over- and under-complete mixtures
  Zhang Liqing, Amari Shun-ichi, Cichocki Andrzej
  Proceedings of First International Workshop on Independent Component Analysis and Signal Separation (ICA'99), 455-460, 1/1999, Aussois, France.
  
  
• Convergence of the wake-sleep algorithm
  Ikeda Shiro, Amari Shun-ichi, Nakahara Hiroyuki, Kearns et al. M. S.
  Proceedings of the 1998 Conference on Advances in Neural Information Processing Systems 11, 239-245, 1999.
  
  
• Extraction of independent signals in the brain
  Amari Shun-ichi, Yoshimoto T., Kotani M., Kuriki S., Karibe H., Nakasato N.
  Recent Advances in Biomagnetism, 125-128, 1999.
  
  
• Enhancement of Magnetoencephalographic signals using independent component analysis
  Cichocki Andrzej, Cao Jianting, Amari Shun-ichi, Murata Noboru, Takeda T., Endo H., Yoshimoto T., Kotani M., Kuriki S., Karibe H., Nakasato N.
  Recent Advances in Biomagnetism, 169-172, 1999.
  
  
• Identification and elimination of artifacts from MEG signals using efficient independent component analysis
  Jahn O., Cichocki Andrzej, Ioannides Andreas A., Amari Shun-ichi, Yoshimoto T., Kotani M., Kuriki S., Karibe H., Nakasato N.
  Recent Advances in Biomagnetism, 224-227, 1999.
  
  

1998

• Dynamic cooperation and competition in a network of spiking neurons
  Trappenberg Thomas
  Proceedings of the Fifth International Conference on Neural Information Processing (ICONIP'98), 1299-1302, 10/1998, Kitakyushu, Japan.
  
  
• Modeling reward dependent activity pattern of caudate neurons
  Trappenberg Thomas, Nakahara Hiroyuki, Hikosaka Okihide, L. Niklasson , M. Bod\"en , T. Ziemke
  Proceedings of the 8th International Conference on Artificial Neural Networks (ICANN'98), 973-978, 9/1998, Skövde, Sweden.
  
  
• A simple perceptron that learns non-monotonic rules
  Inoue Jun-ichi, Nishimori Hidetoshi, Kabashima Yoshiyuki, K.-Y. M. Wong , I. King , D.-Y. Yeung
  Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective , 257-266, 5/1998.
  
  
• Intelligent neural networks for blind signal separation with unknown number of sources
  Cichocki Andrzej, Sabala Ireneusz, Amari Shun-ichi, E. Alpaydin
  Proceedings of the International ICSC Symposium on Engineering of Intelligent Systems (EIS'98), 148-154, 2/1998, Tenerife, Spain.
  
  
• Further results on nonlinearity and separation capability of a linear mixture ICA method and learned parametric mixture algorithm
  Xu Lei, Cheung Chi Chiu, Amari Shun-ichi, C.Fyfe
  Proceedings of the International ICSC Workshop on Independence & Artificial Neural Networks (I&ANN'98) , 39-44, 2/1998, Tenerife, Spain.
  
  
• Independent component analysis for noisy data
  Cichocki Andrzej, Douglas Scott C., Amari Shun-ichi, Mierzejewski Piotr, C.Fyfe
  Proceedings of the International ICSC Workshop on Independence & Artificial Neural Networks (I&ANN'98) , 52-58, 2/1998, Tenerife, Spain.
  
  
• Blind source separation:Mathematical foundations
  Amari Shun-ichi, S. Amari , N. Kasabov
  Brain-like Computing and Intelligent Information Systems, 153-166, 1998.
  
  
• Estimating functions in semiparametric statistical models
  Amari Shun-ichi, Kawanabe Motoaki
  Lecture Notes: Monograph Series, Institute of Mathematical Statistics, Vol. 32 , 65-81, 1998.
  
  
• On-line learning in switching and drifting environments with application to blind source separation
  Muller Klaus-Robert, Ziehe Andreas, Murata Noboru, Amari Shun-ichi, David Saad
  On-Line Learning in Neural Networks, 93-110, 1998.
  
  
• Annealed online learning in multilayer neural networks
  Bös Siegfried, Amari Shun-ichi, David Saad
  On-Line Learning in Neural Networks, 209-229, 1998.
  
  
• MEG data analysis based on ICA approach with pre- & post-processing techniques
  Cao Jianting, Murata Noboru, Amari Shun-ichi, Cichocki Andrzej, Takeda Tsunehiro, IEICE
  Proceedings of 1998 International Symposium on Nonlinear Theory and Its Applications (NOLTA'98), Vol. 1, 287-290, 1998.
  
  
• Semi-blind and state-space approaches to nonlinear dynamic independent component analysis
  Cichocki Andrzej, Zhang Liqing, Amari Shun-ichi, IEICE
  Proceedings of 1998 International Symposium on Nonlinear Theory and Its Applications (NOLTA'98), Vol. 1, 291-294, 1998.
  
  

1997

• Acceleration of the EM algorithm
  Ikeda Shiro
  Proceedings of 1997 International Symposium on Nonlinear Theory and Its Applications, 755-758, 11-12/1997, Hawaii, USA.
  
  
• Blind separation of uniformly distributed source signals
  Basak Jayanta, Amari Shun-ichi
  Proceedings of 1997 International Symposium on Nonlinear Theory and Its Applications, 997-1000, 11-12/1997, Honolulu, U.S.A..
  
  
• Mathematical theories of neural networks
  Amari Shun-ichi
  Handbook of Neural Computation, H1.1:1-H1.1:4, 1997.
  
  
• Blind source separation:Semioarametric statistical approach
  Amari Shun-ichi, Cardoso Jean-Francois
  IEEE Transactions on Signal Processing, 2692, 1997.
  
  
• On-line adaptive algorithms in non-stationary environments using a modified conjugate gradient approach
  Cichocki Andrzej, Orsier Bruno, Back Andrew D., Amari Shun-ichi
  Proceedings of the 1997 IEEE Workshop on Neural Networks for Signal Processing VII, 316-325, 1997.
  
  
• Annealed on-line learning in a nonlinear neural net
  Bös Siegfried, Amari Shun-ichi, N.Kasabov et al.
  Progress in Connectionist-Based Information Systems:Proceedings of The Fourth International Conference on Neural Information Processing (ICONIP'97), 318-325, 1997.
  
  
• Non-holonomic constraints in learning blind source separation
  Amari Shun-ichi, Chen Tianping, Cichocki Andrzej, N.Kasabov et al.
  Progress in Connectionist-Based Information Systems:Proceedings of The Fourth International Conference on Neural Information Processing (ICONIP'97), 633-636, 1997.
  
  
• Adaptive blind deconvolution and equalization with self-adaptive nonlinearities: An information-theoretic approach
  Choi Seungjin, Cichocki Andrzej, Amari Shun-ichi, N. Kasabov et al.
  Progress in Connectionist-Based Information Systems:Proceedings of The Fourth International Conference on Neural Information Processing (ICONIP'97), 641-644, 1997.
  
  
• Natural gradient learning algorithms for decorrelation
  Choi Seungjin, Amari Shun-ichi, Cichocki Andrzej, N.Kasabov et al.
  Progress in Connectionist-Based Information Systems:Proceedings of The Fourth International Conference on Neural Information Processing (ICONIP'97), 645-648, 1997.
  
  

1996

• A stochastic natural gradient descent algorithm for blind signal separation
  Yang Howard Hua, Amari Shun-ichi
  Neural Network for Signal Processing VI, 433-442, 1996.