And also

Sub-Riemannian Geometry and Neuromathematics - Statistical Manifold & Hessian Information Geometry - Information Geometry in Physics Geometric & Symplectic Methods for Hydrodynamical Models - Geometry of Quantum States - Deformed entropy, cross-entropy, and relative entropy - Geometric structures in thermodynamics and statistical physics - Geometric Deep Learning - Computational Information Geometry Optimal Transport & Learning - Statistics, Information and Topology Topological and Geometrical Structures in Neurosciences - Manifolds & Optimization - Divergence Statistics - Transport information geometry