• Kunita flows, shape stochastics, and phylogenetic inference

  • The diffusion mean of geometric data

  • Conditioned diffusions in geometric statistics

  • Manifold Bridges and Diffusion Means

  • Conditioning branching shape processes

  • Diffusions means in geometric statistics

  • Geometry, stochastics and geometric statistics

  • Stochastic shapes and mean sampling

  • Stochastic Morphometry and CCEM

  • Sub-Riemannian geometry and probabilistic geometric statistics

  • K-functions for Currents

  • Latent Space Geometric Statistics

  • Stochastic Shape Analysis and Probabilistic Geometric Statistics - a sub-Riemannian viewpoint

  • Horizontal Flows and Manifold Stochastics in Geometric Deep Learning

  • Shape spaces of images and curves

  • Linear representations and random orbit model

  • Shape analysis and actions of the diffeomorphism group