Description

Book Synopsis

This book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023.

The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.




Table of Contents

Geometry and machine learning.- Divergences and computational information geometry.- Statistics, topology and shape spaces.- Geometry and mechanics.- Geometry, learning dynamics and thermodynamics.- Quantum information geometry.- Geometry and biological structures.- Geometry and applications.

Geometric Science of Information: 6th

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    A Paperback / softback by Frank Nielsen, Frédéric Barbaresco

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      Publisher: Springer International Publishing AG
      Publication Date: 01/08/2023
      ISBN13: 9783031382703, 978-3031382703
      ISBN10: 3031382706

      Description

      Book Synopsis

      This book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023.

      The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.




      Table of Contents

      Geometry and machine learning.- Divergences and computational information geometry.- Statistics, topology and shape spaces.- Geometry and mechanics.- Geometry, learning dynamics and thermodynamics.- Quantum information geometry.- Geometry and biological structures.- Geometry and applications.

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