学术报告“Information Geometry and Its Applications”在我院举行
时间: 2010-07-02      来源: 宣传与外事科

  

71上午10点,在学院学术报告厅B302,来自日本著名学府---东京大学的荣誉教授Shun-ichi Amari(甘利俊一)先生为全体师生带来了一场题为“Information Geometry and Its Applications”的精彩学术报告。我院章毅院长、客座教授吴思等出席了本次报告会。

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报告中,甘利教授首先对信息几何学做了大致的介绍,通过形象的数学模型加深了现场师生对信息几何学的认识。随后甘利教授为我们详细讲解了流形(Manifold)分布的几种可能性,同时也指出了分布的恒常性并以此为铺垫为我们介绍了黎曼几何(Riemannian)在其研究中的应用,分析了2个不同的映射情况:e-geodemsicm-geodemsic.。之后,甘利教授针对凸函数情况下的流形为大家做了仔细地介绍,以通俗易懂的语言讲解了Bregman散度和K-L散度在自己研究领域中的应用,并对其价值做了中肯的评价。最后,甘利教授为大家列举了信息几何学在统计中的应用,并对其中的数学模型展开了分析。

整场报告学术气氛浓烈,甘利教授以其严谨的作风和不失幽默的语言引导着现场听众,并对同学们感兴趣的问题做了耐心细致的解答,使大家受益匪浅。报告最后在师生们热烈的掌声中圆满结束。

 

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Shun-ichi Amari was born in Tokyo, Japan, on January 3, 1936.  He graduated from the Graduate School of the University of Tokyo in 1963 majoring in mathematical engineering and received Degree of Dr. of Engineering.

He worked as an Associate Professor at Kyushu University and the University of Tokyo, and then a Full professor at the University of Tokyo, and is now Professor-Emeritus.  He moved to RIKEN Brain Science Institute and served as Director for 5 years and is now Senior Advisor.   He has been engaged in research in wide areas of mathematical science and engineering, such as topological network theory, differential geometry of continuum mechanics, pattern recognition, and information sciences.  In particular, he has devoted himself to mathematical foundations of neural networks, including statistical neurodynamics, dynamical theory of neural fields, associative memory, self-organization, and general learning theory.  Another main subject of his research is information geometry initiated by himself, which applies modern differential geometry to statistical inference, information theory, control theory, stochastic reasoning, and neural networks, providing a new powerful method to information sciences and probability theory.

Dr. Amari is past President of International Neural Networks Society and Institute of Electronic, Information and Communication Engineers, Japan.  He received Emanuel A. Piore Award and Neural Networks Pioneer Award from the IEEE, the Japan Academy Award, C&C Award, INNS Gabor Award and Caianiello Memorial Award.  He was founding co-editor-in-chief of Neural Networks, among many other journals.

(文字:杨筱宇;摄影:陈泓竹)

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