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Eigenvalues/vectors of tensors are a modern concept extending those of matrices. They appear in various non-linear contexts, such as spin glasses, general relativity, artificial intelligence, quantum information theory, string theory, and so on, while the matrix counterpart in linear-contexts. Understanding universal properties across various tensor eigen problems is important, since this assures their wide applicability. I talk about our recent finding of a universality of tensor eigenvalue/vector distributions, which has been achieved by systematically computing them using quantum field theoretical techniques.
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Seminar in English
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Dr. Eiichiro Ono, Senior General Manager/Research Specialist at Research Institute, Suntory Global Innovation Center Ltd., Kyoto, Japan
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Title: Some Almost Hermitian flows
Speaker: Prof. Casey Kelleher (Princeton University)
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Dr. Ai Shinobu, Specially Appointed Associate Professor, WPI-PRIMe, Osaka University
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Ana Kontrec, RIMS, Kyoto University
Title: On the structure of some subregular W-algebras
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Prof. Akihisa Osakabe
Graduate School of Science, Chiba University
Institute for Advanced Academic Research, Chiba University
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Tuesday, June 30, 2026, 16:00-17:00 at L5D23, Lab 5
Authentic Purpose: developmental neurology for autonomous neurorobots
Dr. Jeffrey White
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Prof. Alex C. C. Wilson, Professor of Biology; Department of Biology, University of Miami, USA
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Speaker: Mr. Riku Green, the University of Bristol
Title: Machine Learning for Forecasting Multiple Steps Ahead

