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A Geometric Perspective on Autoencoders

A Geometric Perspective on Autoencoders

15 September 2023
Yonghyeon Lee
ArXivPDFHTML

Papers citing "A Geometric Perspective on Autoencoders"

7 / 7 papers shown
Title
On Explicit Curvature Regularization in Deep Generative Models
On Explicit Curvature Regularization in Deep Generative Models
Yonghyeon Lee
Frank C. Park
BDL
50
13
0
19 Sep 2023
Geometrically Enriched Latent Spaces
Geometrically Enriched Latent Spaces
Georgios Arvanitidis
Søren Hauberg
Bernhard Schölkopf
DRL
60
55
0
02 Aug 2020
Extendable and invertible manifold learning with geometry regularized
  autoencoders
Extendable and invertible manifold learning with geometry regularized autoencoders
Andres F. Duque
Sacha Morin
Guy Wolf
Kevin R. Moon
73
25
0
14 Jul 2020
Learning Flat Latent Manifolds with VAEs
Learning Flat Latent Manifolds with VAEs
Nutan Chen
Alexej Klushyn
Francesco Ferroni
Justin Bayer
Patrick van der Smagt
DRL
54
41
0
12 Feb 2020
Latent Space Oddity: on the Curvature of Deep Generative Models
Latent Space Oddity: on the Curvature of Deep Generative Models
Georgios Arvanitidis
Lars Kai Hansen
Søren Hauberg
DRL
107
270
0
31 Oct 2017
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
86
2,224
0
18 Nov 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
450
16,933
0
20 Dec 2013
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