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Collections including paper arxiv:2407.09468

Papers - NEDL - Dim Reduction - Principal Geodesic Analysis

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

Paper • 2407.09468 • Published Jul 12 • 1
Representation Tradeoffs for Hyperbolic Embeddings

Paper • 1804.03329 • Published Apr 10, 2018 • 1

Papers - NEDL - Topology - Attention - SE(3) Transformer

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

Paper • 2407.09468 • Published Jul 12 • 1

Papers - NEDL - Topology - Attn - Graph Attn Transformer

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

Paper • 2407.09468 • Published Jul 12 • 1

Papers - NEDL - Topology - Attention - Geodesic Transformer

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

Paper • 2407.09468 • Published Jul 12 • 1

Papers - NEDL - Topology - Attn - Point Cloud Transformer

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

Paper • 2407.09468 • Published Jul 12 • 1

Papers - NEDL - Topology - Attention - Set Transformer

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

Paper • 2407.09468 • Published Jul 12 • 1

Papers - NEDL - Geometry - Layers - ManifoldNet

Manifold-valued data convolutions. Tangent mean can be used for Fréchet mean to save on compute

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

Paper • 2407.09468 • Published Jul 12 • 1

Papers - NEDL - Model Layers - Topology, Geometry, Alegbra

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

Paper • 2407.09468 • Published Jul 12 • 1

Papers - NEDL - Layer - Log Perceptron - Riemannian Log Map

The manifold needs to be known for this layer to be implemented, and manifolds whose Log enjoys an analytical expression are preferred.

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

Paper • 2407.09468 • Published Jul 12 • 1

Papers - NEDL - Layer - Perceptron-Exp - Riemannian Expo Map

The manifold needs to be known for this layer to be implemented, and manifolds whose Exp enjoys an analytical expression are preferred

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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