GSI 2027

25 th August

27 th August

GSI'27 - 8th International Conference on

Geometric Science of Information

Geometric Structures of Statistical & Quantum Physics, Information Geometry, and Machine Learning

FROM CLASSICAL TO QUANTUM INFORMATION GEOMETRY

About the
GSI'27 Conference

The Conference will be held in areas of topics of mutual interest in Geometric Science Information with the aim to:

•    Provide an overview on the most recent state-of-the-art
•    Exchange mathematical information / knowledge / expertise in the area
•    Identify research areas/applications for future collaboration

GSi'27 CALL FOR PAPERS

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Meet our 2023 Keynote Speakers

Francis BACH

Eva MIRANDA

Diarra FALL

Hervé SABOURIN

Bernd STURMFELS

Juan-Pablo ORTEGA

Thank You to Our Sponsors

Platinium sponsors
Bronze sponsors

GSI'25 Associated Partners

GSI’25 EDITORS

GSI 2027 General Co-Chairs

Frederic Barbaresco (THALES)

Frank Nielsen (SONY CSL)

About GSI

About GSI

Welcome to the Geometric Science of Information 2025 Conference

It is our pleasure to invite you to the 7th International Conference on Geometric Science of Information (GSI’25), which will take place from October 29th to 31st, 2025, at the Palais du Grand Large, Saint-Malo, France.

GSI’25 focuses on the theme:
« From Classical to Quantum Information Geometry: Geometric Structures of Statistical & Quantum Physics, Information Geometry, and Machine Learning. »

This conference aims to bring together mathematicians, physicists, and engineers with a shared interest in geometric tools and their applications in information analysis and learning. Emphasizing the active participation of young researchers, GSI fosters collaboration and discussion on emerging topics in this interdisciplinary field.

The conference will:

  • Present a panorama of state-of-the-art developments in geometric methods for information analysis.
  • Promote the exchange of knowledge and expertise across mathematics, physics, probability, and information theory.
  • Highlight applications in diverse fields, including signal and image processing, machine learning, and data science.
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