Extendable and invertible manifold learning with geometry regularized
autoencoders

Extendable and invertible manifold learning with geometry regularized autoencoders

14 July 2020

Andres F. Duque

Sacha Morin

Guy Wolf

Kevin R. Moon

Papers citing "Extendable and invertible manifold learning with geometry regularized autoencoders"

9 / 9 papers shown

Title
Random Forest Autoencoders for Guided Representation Learning Adrien Aumon Shuang Ni Myriam Lizotte Guy Wolf Kevin R. Moon Jake S. Rhodes 98 0 0 18 Feb 2025
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 63 4 0 16 Oct 2024
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 202 10,591 0 17 Feb 2020
Visualizing the PHATE of Neural Networks Scott A. Gigante Adam S. Charles Smita Krishnaswamy Zhengchao Wan 40 38 0 07 Aug 2019
Visualizing High Dimensional Dynamical Processes Andres F. Duque Guy Wolf Kevin R. Moon DiffM AI4TS 14 13 0 25 Jun 2019
Topological Autoencoders Michael Moor Max Horn Bastian Rieck Karsten Borgwardt 37 149 0 03 Jun 2019
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 107 9,312 0 09 Feb 2018
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling Gautam Pai Ronen Talmon A. Bronstein Ron Kimmel 44 41 0 16 Nov 2017
Diffusion Nets Zhengchao Wan Uri Shaham Alexander Cloninger Israel Cohen DiffM 43 53 0 25 Jun 2015

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