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An elementary introduction to information geometry
v1v2 (latest)

An elementary introduction to information geometry

17 August 2018
Frank Nielsen
    3DGS
ArXiv (abs)PDFHTML

Papers citing "An elementary introduction to information geometry"

22 / 72 papers shown
Title
Rao distances and Conformal Mapping
Rao distances and Conformal Mapping
A. Rao
S. Krantz
11
0
0
11 Jun 2021
Pulling back information geometry
Pulling back information geometry
Georgios Arvanitidis
Miguel González Duque
Alison Pouplin
Dimitris Kalatzis
Søren Hauberg
DRL
76
17
0
09 Jun 2021
A Unifying and Canonical Description of Measure-Preserving Diffusions
A Unifying and Canonical Description of Measure-Preserving Diffusions
Alessandro Barp
So Takao
M. Betancourt
Alexis Arnaudon
Mark Girolami
77
17
0
06 May 2021
Model-centric Data Manifold: the Data Through the Eyes of the Model
Model-centric Data Manifold: the Data Through the Eyes of the Model
Luca Grementieri
R. Fioresi
92
9
0
26 Apr 2021
On the Properties of Kullback-Leibler Divergence Between Multivariate
  Gaussian Distributions
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
Yufeng Zhang
Wanwei Liu
Zhenbang Chen
Ji Wang
KenLi Li
110
26
0
10 Feb 2021
On $f$-divergences between Cauchy distributions
On fff-divergences between Cauchy distributions
Frank Nielsen
K. Okamura
71
24
0
29 Jan 2021
A Distributional Approach to Controlled Text Generation
A Distributional Approach to Controlled Text Generation
Muhammad Khalifa
Hady ElSahar
Marc Dymetman
167
119
0
21 Dec 2020
Annealed Importance Sampling with q-Paths
Annealed Importance Sampling with q-Paths
Rob Brekelmans
Vaden Masrani
T. Bui
Frank Wood
Aram Galstyan
Greg Ver Steeg
Frank Nielsen
67
10
0
14 Dec 2020
On Voronoi diagrams and dual Delaunay complexes on the
  information-geometric Cauchy manifolds
On Voronoi diagrams and dual Delaunay complexes on the information-geometric Cauchy manifolds
Frank Nielsen
26
0
0
12 Jun 2020
An information-geometric approach to feature extraction and moment
  reconstruction in dynamical systems
An information-geometric approach to feature extraction and moment reconstruction in dynamical systems
Suddhasattwa Das
D. Giannakis
EnikHo Székely
16
2
0
05 Apr 2020
Cumulant-free closed-form formulas for some common (dis)similarities
  between densities of an exponential family
Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family
Frank Nielsen
Richard Nock
61
3
0
05 Mar 2020
Kullback-Leibler Divergence-Based Out-of-Distribution Detection with
  Flow-Based Generative Models
Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models
Yufeng Zhang
Jia Pan
Wanwei Liu
Zhenbang Chen
Jing Wang
Zhiming Liu
KenLi Li
H. Wei
OODDDRL
98
2
0
09 Feb 2020
Dual Stochastic Natural Gradient Descent and convergence of interior
  half-space gradient approximations
Dual Stochastic Natural Gradient Descent and convergence of interior half-space gradient approximations
Borja Sánchez-López
J. Cerquides
38
1
0
19 Jan 2020
On geodesic triangles with right angles in a dually flat space
On geodesic triangles with right angles in a dually flat space
Frank Nielsen
49
16
0
09 Oct 2019
Fisher-Rao Geometry and Jeffreys Prior for Pareto Distribution
Fisher-Rao Geometry and Jeffreys Prior for Pareto Distribution
Mingming Li
Huafei Sun
Linyu Peng
20
8
0
13 Jul 2019
Entropic Regularization of Markov Decision Processes
Entropic Regularization of Markov Decision Processes
Boris Belousov
Jan Peters
73
24
0
06 Jul 2019
A New Lower Bound for Kullback-Leibler Divergence Based on
  Hammersley-Chapman-Robbins Bound
A New Lower Bound for Kullback-Leibler Divergence Based on Hammersley-Chapman-Robbins Bound
T. Nishiyama
21
9
0
29 Jun 2019
On a generalization of the Jensen-Shannon divergence and the
  JS-symmetrization of distances relying on abstract means
On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means
Frank Nielsen
153
184
0
08 Apr 2019
Intrinsic Universal Measurements of Non-linear Embeddings
Intrinsic Universal Measurements of Non-linear Embeddings
Ke Sun
37
0
0
05 Nov 2018
Geometry and clustering with metrics derived from separable Bregman
  divergences
Geometry and clustering with metrics derived from separable Bregman divergences
Erika Gomes-Gonçalves
H. Gzyl
Frank Nielsen
13
0
0
25 Oct 2018
Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph
Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph
L. Albergante
Evgeny M. Mirkes
Huidong Chen
Alexis Martin
Louis Faure
E. Barillot
Luca Pinello
Alexander N. Gorban
A. Zinovyev
60
56
0
20 Apr 2018
Clustering in Hilbert simplex geometry
Clustering in Hilbert simplex geometry
Frank Nielsen
Ke Sun
65
16
0
03 Apr 2017
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