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A Heat Diffusion Perspective on Geodesic Preserving Dimensionality
  Reduction

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction

30 May 2023
G. Huguet
Alexander Tong
E. Brouwer
Yanlei Zhang
Guy Wolf
Ian M. Adelstein
Smita Krishnaswamy
    DiffM
ArXiv (abs)PDFHTML

Papers citing "A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction"

2 / 2 papers shown
Title
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Xingzhi Sun
Danqi Liao
Kincaid MacDonald
Yanlei Zhang
Chen Liu
Guillaume Huguet
Guy Wolf
Ian M. Adelstein
Tim G. J. Rudner
Smita Krishnaswamy
122
6
0
16 Oct 2024
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning
Shay Deutsch
Lionel Yelibi
Alex Tong Lin
Arjun Ravi Kannan
110
1
0
04 Jun 2024
1