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Hydra: A method for strain-minimizing hyperbolic embedding of network-
  and distance-based data

Hydra: A method for strain-minimizing hyperbolic embedding of network- and distance-based data

21 March 2019
Martin Keller-Ressel
Stephanie Nargang
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Papers citing "Hydra: A method for strain-minimizing hyperbolic embedding of network- and distance-based data"

13 / 13 papers shown
Title
Curvature Corrected Nonnegative Manifold Data Factorization
Curvature Corrected Nonnegative Manifold Data Factorization
Joyce A. Chew
Willem Diepeveen
Deanna Needell
64
0
0
24 Feb 2025
Symmetry-driven embedding of networks in hyperbolic space
Symmetry-driven embedding of networks in hyperbolic space
Simon Lizotte
Jean-Gabriel Young
Antoine Allard
39
1
0
15 Jun 2024
Pulling back symmetric Riemannian geometry for data analysis
Pulling back symmetric Riemannian geometry for data analysis
W. Diepeveen
37
2
0
11 Mar 2024
Accelerating hyperbolic t-SNE
Accelerating hyperbolic t-SNE
Martin Skrodzki
Hunter van Geffen
Nicolas F. Chaves-de-Plaza
T. Höllt
E. Eisemann
Klaus Hildebrandt
44
3
0
23 Jan 2024
Capacity Bounds for Hyperbolic Neural Network Representations of Latent
  Tree Structures
Capacity Bounds for Hyperbolic Neural Network Representations of Latent Tree Structures
Anastasis Kratsios
Rui Hong
Haitz Sáez de Ocáriz Borde
36
4
0
18 Aug 2023
Bayesian Hyperbolic Multidimensional Scaling
Bayesian Hyperbolic Multidimensional Scaling
Bolun Liu
Shane Lubold
A. Raftery
Tyler H. McCormick
14
4
0
26 Oct 2022
Strain-Minimizing Hyperbolic Network Embeddings with Landmarks
Strain-Minimizing Hyperbolic Network Embeddings with Landmarks
Martin Keller-Ressel
Stephanie Nargang
11
3
0
14 Jul 2022
Latent Space Network Modelling with Hyperbolic and Spherical Geometries
Latent Space Network Modelling with Hyperbolic and Spherical Geometries
Marios Papamichalis
K. Turnbull
Simón Lunagómez
E. Airoldi
12
1
0
07 Sep 2021
Hyperbolic Busemann Learning with Ideal Prototypes
Hyperbolic Busemann Learning with Ideal Prototypes
Mina Ghadimi Atigh
Martin Keller-Ressel
Pascal Mettes
33
36
0
28 Jun 2021
A Theory of Hyperbolic Prototype Learning
A Theory of Hyperbolic Prototype Learning
Martin Keller-Ressel
23
3
0
15 Oct 2020
Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension
  Estimation
Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation
Kisung You
7
14
0
22 May 2020
Hyperbolic Distance Matrices
Hyperbolic Distance Matrices
Puoya Tabaghi
Ivan Dokmanić
14
28
0
18 May 2020
Angular separability of data clusters or network communities in
  geometrical space and its relevance to hyperbolic embedding
Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding
A. Muscoloni
C. Cannistraci
11
8
0
28 Jun 2019
1