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Fermat Distances: Metric Approximation, Spectral Convergence, and
  Clustering Algorithms

Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms

7 July 2023
Nicolas García Trillos
A. Little
Daniel McKenzie
James M. Murphy
ArXivPDFHTML

Papers citing "Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms"

4 / 4 papers shown
Title
Probability Density Geodesics in Image Diffusion Latent Space
Probability Density Geodesics in Image Diffusion Latent Space
Qingtao Yu
Jaskirat Singh
Zhaoyuan Yang
Peter Tu
Jing Zhang
Hongdong Li
Richard Hartley
Dylan Campbell
DiffM
65
0
0
09 Apr 2025
Learning Distances from Data with Normalizing Flows and Score Matching
Learning Distances from Data with Normalizing Flows and Score Matching
Peter Sorrenson
Daniel Behrend-Uriarte
Christoph Schnörr
Ullrich Kothe
33
2
0
12 Jul 2024
Combining Statistical Depth and Fermat Distance for Uncertainty
  Quantification
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
Hai-Vy Nguyen
Fabrice Gamboa
Reda Chhaibi
Sixin Zhang
Serge Gratton
Thierry Giaccone
FedML
UQCV
25
0
0
12 Apr 2024
Choosing the parameter of the Fermat distance: navigating geometry and
  noise
Choosing the parameter of the Fermat distance: navigating geometry and noise
Frédéric Chazal
Laure Ferraris
Pablo Groisman
Matthieu Jonckheere
Frédéric Pascal
F. Sapienza
OT
21
0
0
30 Nov 2023
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