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Barycentric Subspace Analysis on Manifolds
v1v2 (latest)

Barycentric Subspace Analysis on Manifolds

11 July 2016
Xavier Pennec
ArXiv (abs)PDFHTML

Papers citing "Barycentric Subspace Analysis on Manifolds"

14 / 14 papers shown
Title
Strong law of large numbers for the generalized Fréchet means with
  random minimizing domains
Strong law of large numbers for the generalized Fréchet means with random minimizing domains
Jaesung Park
Sungkyu Jung
21
0
0
18 Nov 2023
Spherical and Hyperbolic Toric Topology-Based Codes On Graph Embedding
  for Ising MRF Models: Classical and Quantum Topology Machine Learning
Spherical and Hyperbolic Toric Topology-Based Codes On Graph Embedding for Ising MRF Models: Classical and Quantum Topology Machine Learning
V. Usatyuk
Sergey Egorov
Denis Sapozhnikov
71
3
0
28 Jul 2023
Principal Component Analysis in Space Forms
Principal Component Analysis in Space Forms
Puoya Tabaghi
Michael Khanzadeh
Yusu Wang
Sivash Mirarab
77
8
0
06 Jan 2023
A geometric framework for asymptotic inference of principal subspaces in
  PCA
A geometric framework for asymptotic inference of principal subspaces in PCA
Dimbihery Rabenoro
Xavier Pennec
90
2
0
05 Sep 2022
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN
  Design
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design
Xiran Fan
Chun-Hao Yang
B. Vemuri
90
18
0
03 Dec 2021
Single Index Fréchet Regression
Single Index Fréchet Regression
S. Bhattacharjee
Hans-Georg Müller
52
19
0
11 Aug 2021
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical
  Projections
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
Ines Chami
Albert Gu
D. Nguyen
Christopher Ré
62
47
0
07 Jun 2021
Diffusion Means in Geometric Spaces
Diffusion Means in Geometric Spaces
B. Eltzner
Pernille Hansen
S. Huckemann
Stefan Sommer
61
14
0
25 May 2021
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
Noémie Jaquier
Leonel Rozo
103
24
0
21 Oct 2020
Learning Weighted Submanifolds with Variational Autoencoders and
  Riemannian Variational Autoencoders
Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders
Nina Miolane
S. Holmes
DRL
41
20
0
19 Nov 2019
Curvature effects on the empirical mean in Riemannian and affine
  Manifolds: a non-asymptotic high concentration expansion in the small-sample
  regime
Curvature effects on the empirical mean in Riemannian and affine Manifolds: a non-asymptotic high concentration expansion in the small-sample regime
Xavier Pennec
68
22
0
18 Jun 2019
Stable Geodesic Update on Hyperbolic Space and its Application to
  Poincare Embeddings
Stable Geodesic Update on Hyperbolic Space and its Application to Poincare Embeddings
Y. Enokida
Atsushi Suzuki
Kenji Yamanishi
29
1
0
26 May 2018
Probabilistic Riemannian submanifold learning with wrapped Gaussian
  process latent variable models
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
Anton Mallasto
Søren Hauberg
Aasa Feragen
54
11
0
23 May 2018
Representation Tradeoffs for Hyperbolic Embeddings
Representation Tradeoffs for Hyperbolic Embeddings
Christopher De Sa
Albert Gu
Christopher Ré
Frederic Sala
243
413
0
10 Apr 2018
1