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Geometric Science Of Information 5th International Conference Gsi 2021 Paris France July 2123 2021 Proceedings Lecture Notes In Computer Science 12829 1st Ed 2021 Frank Nielsen Editor

  • SKU: BELL-51579278
Geometric Science Of Information 5th International Conference Gsi 2021 Paris France July 2123 2021 Proceedings Lecture Notes In Computer Science 12829 1st Ed 2021 Frank Nielsen Editor
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Geometric Science Of Information 5th International Conference Gsi 2021 Paris France July 2123 2021 Proceedings Lecture Notes In Computer Science 12829 1st Ed 2021 Frank Nielsen Editor instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 15.8 MB
Pages: 958
Author: Frank Nielsen (editor), Frédéric Barbaresco (editor)
ISBN: 9783030802080, 3030802086
Language: English
Year: 2021
Edition: 1st ed. 2021

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Geometric Science Of Information 5th International Conference Gsi 2021 Paris France July 2123 2021 Proceedings Lecture Notes In Computer Science 12829 1st Ed 2021 Frank Nielsen Editor by Frank Nielsen (editor), Frédéric Barbaresco (editor) 9783030802080, 3030802086 instant download after payment.

This book constitutes the proceedings of the 5th International Conference on Geometric Science of Information, GSI 2021, held in Paris, France, in July 2021.

The 98 papers presented in this volume were carefully reviewed and selected from 125 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: Probability and statistics on Riemannian Manifolds; sub-Riemannian geometry and neuromathematics; shapes spaces; geometry of quantum states; geometric and structure preserving discretizations; information geometry in physics; Lie group machine learning; geometric and symplectic methods for hydrodynamical models; harmonic analysis on Lie groups; statistical manifold and Hessian information geometry; geometric mechanics; deformed entropy, cross-entropy, and relative entropy; transformation information geometry; statistics, information and topology; geometric deep learning; topological and geometrical structures in neurosciences; computational information geometry; manifold and optimization; divergence statistics; optimal transport and learning; and geometric structures in thermodynamics and statistical physics.

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