[Announcement] Congratulations to the 2025 Kyoto Prize Laureate in Advanced Technology (Information Science), Shun’ichi Amari
Professor Shun’ichi Amari’s works (review articles, research papers, and book chapters) are available for free until December 14, 2025.
November 17, 2025
Professor Shun’ichi Amari at the Kyoto Prize Award Ceremony Press Conference
Professor Shun’ichi Amari has been selected as the 2025 Kyoto Prize laureate in Advanced Technology (Information Science) for his pioneering contributions to establishing the theoretical foundations of artificial intelligence and for his achievements in establishing information geometry. This award marks exactly forty years since Claude Shannon —known as the ‘Father of Information Theory’ and an American electrical engineer and mathematician — received the 1st Kyoto Prize in 1985.
At the award ceremony held on Monday, November 10, 2025, at the Kyoto International Conference Center, Her Imperial Highness Princess Takamado graced the occasion, joined by ambassadors, consuls general, and numerous distinguished guests from Japan and abroad to celebrate the laureates’ achievements. Each laureate was presented with a diploma, the Kyoto Prize medal, and a monetary award of 100 million yen.
https://www.kyotoprize.org/en/laureates/shun-ichi_amari/
We extend our heartfelt congratulations to Professor Shun’ichi Amari on receiving the Kyoto Prize. Below is a list of his works — 30 references published in journals including a research survey article, along with selected book chapters — published by Springer Nature over the past 50 years. These materials are available for free viewing and download until December 14, 2025.
Research Survey Article
- Information geometry. Published in: Japanese Journal of Mathematics (2021)
Research Articles, Foreword, Book Review etc.
- Information geometry of Wasserstein statistics on shapes and affine deformations. Published in: Information Geometry (2024)
- Foreword: Half a Century of Information Geometry. Published in: Information Geometry (2023)
- Optimal transportation plans with escort entropy regularization. Published in: Information Geometry (2021)
- Information geometry connecting Wasserstein distance and Kullback–Leibler divergence via the entropy-relaxed transportation problem. Published in: Information Geometry (2018)
- A new discriminant NMF algorithm and its application to the extraction of subtle emotional differences in speech. Published in: Cognitive Neurodynamics (2012)
- Neural population representation hypothesis of visual flow and its illusory after effect in the brain: psychophysics, neurophysiology and computational approaches. Published in: Cognitive Neurodynamics (2012)
- Information geometry in optimization, machine learning and statistical inference. Published in: Frontiers of Electrical and Electronic Engineering in China (2010)
- Bayes factor analysis for detection of time-dependent higher-order spike correlations. Published in: BMC Neuroscience (2009)
- A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning. Published in: Journal of Computational Neuroscience (2008)
- Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering. Published in: BMC Bioinformatics (2007)
- Part 1: Tutorial series on brain-inspired computing. Published in: New Generation Computing (2005)
- Gradient Adaptive Paraunitary Filter Banks for Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution. Published in: Journal of VLSI signal processing systems for signal, image and video technology (2004)
- On Some Singularities in Parameter Estimation Problems. Published in: Journal Problems of Information Transmission (2003)
- Neuroscience data and tool sharing. Published in: Neuroinformatics (2003)
- Geometrical Structures of FIR Manifold and Multichannel Blind Deconvolution. Published in: Journal of VLSI signal processing systems for signal, image and video technology (2002)
- Conformal Transformation of Kernel Functions: A Data-Dependent Way to Improve Support Vector Machine Classifiers. Published in: Neural Processing Letters (2002)
- Sequential Extraction of Minor Components. Published in: Neural Processing Letters (2001)
- Flexible Independent Component Analysis. Published in: Journal of VLSI signal processing systems for signal, image and video technology (2000)
- Strategy Under the Unknown Stochastic Environment: the Nonparametric Lob -- Pass Problem. Published in: Algorithmica (1998)
- Blind source separation with convolutive noise cancellation. Published in: Neural Computing & Applications (1997)
- Mathematical theory of neural learning. Published in: New Generation Computing (1991)
- Book review. Published in: Metrika (1990)
- Differential geometry of a parametric family of invertible linear systems—Riemannian metric, dual affine connections, and divergence. Published in: Mathematical systems theory (1987)
- Topographic organization of nerve fields. Published in: Bulletin of Mathematical Biology (1980)
- Existence and stability of local excitations in homogeneous neural fields. Published in: Journal of Mathematical Biology (1979)
- Mathematical theory on formation of category detecting nerve cells. Published in: Biological Cybernetics (1978)
- Dynamics of pattern formation in lateral-inhibition type neural fields. Published in: Biological Cybernetics (1977)
- Homogeneous nets of neuron-like elements. Published in: Biological Cybernetics (1975)
- A method of statistical neurodynamics. Published in: Kybernetik (1974)
Book Chapters
- Multiterminal Statistical Inference: An Unsolved Problem
In: Mathematics Going Forward. LNM 2313 (2023)
Wasserstein Statistics in One-Dimensional Location-Scale Models
In: Geometric Science of Information. LNCS 12829 (2021)Geometry of Information Integration
In: Information Geometry and Its Applications (2018)Manifold, Divergence and Dually Flat Structure
In: Information Geometry and Its Applications (2016)Information Geometry of Neural Networks — An Overview —
In: Mathematics of Neural Networks (1997)Associative Memory and Its Statistical Neurodynamical Analysis
In: Neural and Synergetic Computers (1988)Introduction
In: Differential-Geometrical Methods in Statistics. LNS 28 (1985)Competitive and Cooperative Aspects in Dynamics of Neural Excitation and Self-Organization
In: Competition and Cooperation in Neural Nets. LNB 45 (1982)
List of Kyoto Prize Laureates in Mathematical Sciences (Basic Sciences) and Information Science (Advanced Technology)
The Kyoto Prize consists of three categories (Advanced Technology / Basic Sciences / Arts and Philosophy.), each of which has four prize fields. In each category, the turn to receive an award comes around only once per field, so every field is considered once in a four-year cycle.
Focusing only on the fields of Mathematical Sciences and Information Sciences, there have been exactly ten laureates in each field, as shown below.
40th（2025） Information science Amari, Shun-ichi
38th（2023) Mathematical sciences Lieb, Elliott H.
36th（2021） Information science Yao, Andrew Chi-Chih
34th（2018） Mathematical sciences Kashiwara, Masaki
32nd（2016） Information science Kanade, Takeo
30th（2014） Mathematical sciences Witten, Edward
28th（2012） Information science Sutherland, Ivan
26th（2010） Mathematical sciences Lovász, László
24th（2008） Information science Karp, Richard M.
22nd（2006） Mathematical sciences Akaike, Hirotsugu
20th（2004） Information science Kay, Alan Curtis
18th（2002） Mathematical sciences Gromov, Mikhail
16th（2000） Information science Hoare, Antony
14th（1998） Mathematical sciences Itō, Kiyoshi
12nd（1996） Information science Knuth, Donald
10th（1994） Mathematical sciences Weil, André
8rh（1992） Information science Wilkes, Maurice
5th（1989） Mathematical sciences Gelfand, Izrail
4th（1988） Information science McCarthy, John
1st（1985） Mathematical sciences Shannon, Claude
