Unveiling Cellular Morphology: Statistical Analysis Using a Riemannian Elastic Metric in Cancer Cell Image Datasets Read more about Unveiling Cellular Morphology: Statistical Analysis Using a Riemannian Elastic Metric in Cancer Cell Image Datasets
The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks Read more about The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures Read more about Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
Not So griddy: Internal Representations of RNNs Path Integrating More Than One Agent Read more about Not So griddy: Internal Representations of RNNs Path Integrating More Than One Agent
TopoBench: A Framework for Benchmarking Topological Deep Learning Read more about TopoBench: A Framework for Benchmarking Topological Deep Learning
On the Implementation of Geodesic Metric Spaces Read more about On the Implementation of Geodesic Metric Spaces
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