Stefan Sommer
Professor at Department of Computer Science, University of Copenhagen
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Score learning and inference for diffusion processes on shape spaces
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Kunita flows, shape stochastics, and phylogenetic inference
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The diffusion mean of geometric data
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Conditioned diffusions in geometric statistics
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Manifold Bridges and Diffusion Means
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Conditioning branching shape processes
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Diffusions means in geometric statistics
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Geometry, stochastics and geometric statistics
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Stochastic shapes and mean sampling
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Stochastic Morphometry and CCEM
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Sub-Riemannian geometry and probabilistic geometric statistics
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K-functions for Currents
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Latent Space Geometric Statistics
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Stochastic Shape Analysis and Probabilistic Geometric Statistics - a sub-Riemannian viewpoint
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Horizontal Flows and Manifold Stochastics in Geometric Deep Learning
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Shape spaces of images and curves
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Linear representations and random orbit model
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Shape analysis and actions of the diffeomorphism group