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Collections including paper arxiv:2407.09468

Papers - Math - Research - Training Loss - Riemannian Metric

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Paper • 2407.09468 • Published Jul 12 • 1

Papers - Math - Geometry - Riemannian Geodesic

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Paper • 2407.09468 • Published Jul 12 • 1

Papers - Math - Geometry - Distance - Riemannian Metric

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Paper • 2407.09468 • Published Jul 12 • 1

Papers - Math - Geometry - Distance - Riemannian Manifold

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Paper • 2407.09468 • Published Jul 12 • 1

Papers - Math - Topology - Discrete Topological Structures

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Paper • 2407.09468 • Published Jul 12 • 1
Architectures of Topological Deep Learning: A Survey on Topological Neural Networks

Paper • 2304.10031 • Published Apr 20, 2023 • 3

Papers - Math - Visualizations

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Paper • 2407.09468 • Published Jul 12 • 1
Barycentric Subspace Analysis on Manifolds

Paper • 1607.02833 • Published Jul 11, 2016 • 1
Template shape estimation: correcting an asymptotic bias

Paper • 1610.01502 • Published Sep 6, 2016 • 1

Papers - Math - Non-Euclidean Geometry

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Paper • 2407.09468 • Published Jul 12 • 1

Papers - Visualizations - Dimensionality Reduction

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Paper • 2407.09468 • Published Jul 12 • 1
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

Paper • 1712.09005 • Published Dec 25, 2017 • 1
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Paper • 1802.03426 • Published Feb 9, 2018 • 1
Principal subbundles for dimension reduction

Paper • 2307.03128 • Published Jul 6, 2023 • 1

Papers - Visualizations - Graphical Taxonomy

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Paper • 2407.09468 • Published Jul 12 • 1

Papers - Image - Segmentation - High Dimensional Objects

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Paper • 2407.09468 • Published Jul 12 • 1

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