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Bayesian Hyperbolic Multidimensional Scaling
v1v2v3 (latest)

Bayesian Hyperbolic Multidimensional Scaling

26 October 2022
Bolun Liu
Shane Lubold
A. Raftery
Tyler H. McCormick
ArXiv (abs)PDFHTML

Papers citing "Bayesian Hyperbolic Multidimensional Scaling"

7 / 7 papers shown
Title
A Mapper Algorithm with implicit intervals and its optimization
A Mapper Algorithm with implicit intervals and its optimization
Yuyang Tao
Shufei Ge
145
0
0
16 Dec 2024
Identifying the latent space geometry of network models through analysis
  of curvature
Identifying the latent space geometry of network models through analysis of curvature
Shane Lubold
Arun G. Chandrasekhar
Tyler H. McCormick
53
28
0
19 Dec 2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Ines Chami
A. Wolf
Da-Cheng Juan
Frederic Sala
Sujith Ravi
Christopher Ré
58
395
0
01 May 2020
Massive parallelization boosts big Bayesian multidimensional scaling
Massive parallelization boosts big Bayesian multidimensional scaling
Andrew J Holbrook
P. Lemey
G. Baele
S. Dellicour
D. Brockmann
A. Rambaut
M. Suchard
43
29
0
11 May 2019
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
Martin Keller-Ressel
Stephanie Nargang
43
38
0
21 Mar 2019
Representation Tradeoffs for Hyperbolic Embeddings
Representation Tradeoffs for Hyperbolic Embeddings
Christopher De Sa
Albert Gu
Christopher Ré
Frederic Sala
222
413
0
10 Apr 2018
Poincaré Embeddings for Learning Hierarchical Representations
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel
Douwe Kiela
98
1,312
0
22 May 2017
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