Learning from Landmarks, Curves, Surfaces, and Shapes in Geomstats Read more about Learning from Landmarks, Curves, Surfaces, and Shapes in Geomstats
Bounds on Geodesic Distances on the Stiefel Manifold Read more about Bounds on Geodesic Distances on the Stiefel Manifold
An Efficient Algorithm for the Riemannian Logarithm on the Stiefel Manifold for a Family of Riemannian Metrics Read more about An Efficient Algorithm for the Riemannian Logarithm on the Stiefel Manifold for a Family of Riemannian Metrics
Position: Topological Deep Learning is the New Frontier for Relational Learning Read more about Position: Topological Deep Learning is the New Frontier for Relational Learning
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains Read more about TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
Towards Interpretable Cryo-EM: Disentangling Latent Spaces of Molecular Conformations Read more about Towards Interpretable Cryo-EM: Disentangling Latent Spaces of Molecular Conformations
Relating Representational Geometry to Cortical Geometry in the Visual Cortex Read more about Relating Representational Geometry to Cortical Geometry in the Visual Cortex
On Accuracy and Speed of Geodesic Regression: Do Geometric Priors Improve Learning on Small Datasets? Read more about On Accuracy and Speed of Geodesic Regression: Do Geometric Priors Improve Learning on Small Datasets?
Preface: NeurIPS Workshop on Symmetry and Geometry in Neural Representations Read more about Preface: NeurIPS Workshop on Symmetry and Geometry in Neural Representations
Visual Scene Representation with Hierarchical Equivariant Sparse Coding Read more about Visual Scene Representation with Hierarchical Equivariant Sparse Coding