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

4 / 4 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
75
5
0
16 Oct 2024
Attraction-Repulsion Spectrum in Neighbor Embeddings
Attraction-Repulsion Spectrum in Neighbor Embeddings
Jan Niklas Böhm
Philipp Berens
D. Kobak
51
54
0
17 Jul 2020
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
154
9,409
0
09 Feb 2018
Geodesics in Heat
Geodesics in Heat
Keenan Crane
C. Weischedel
M. Wardetzky
98
498
0
24 Apr 2012
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