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5th GSI 2021: Paris, France

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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

Transport Information Geometry

Statistics, Information and Topology

Geometric Deep Learning

Topological and Geometrical Structures in Neurosciences

Computational Information Geometry

Manifolds and Optimization

Divergence Statistics

Optimal Transport and Learning

Geometric Structures in Thermodynamics and Statistical Physics