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Latent Variable Modeling for Generative Concept Representations and Deep
  Generative Models

Latent Variable Modeling for Generative Concept Representations and Deep Generative Models

26 December 2018
Daniel T. Chang
    DRLBDL
ArXiv (abs)PDFHTML

Papers citing "Latent Variable Modeling for Generative Concept Representations and Deep Generative Models"

13 / 13 papers shown
Title
Concept-Oriented Deep Learning: Generative Concept Representations
Concept-Oriented Deep Learning: Generative Concept Representations
Daniel T. Chang
DRLGANBDL
62
12
0
15 Nov 2018
Geodesic Clustering in Deep Generative Models
Geodesic Clustering in Deep Generative Models
Tao Yang
Georgios Arvanitidis
Dongmei Fu
Xiaogang Li
Søren Hauberg
54
29
0
13 Sep 2018
A Review of Learning with Deep Generative Models from Perspective of
  Graphical Modeling
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Zhijian Ou
68
16
0
05 Aug 2018
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
Learning Disentangled Representations with Semi-Supervised Deep
  Generative Models
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Siddharth Narayanaswamy
Brooks Paige
Jan-Willem van de Meent
Alban Desmaison
Noah D. Goodman
Pushmeet Kohli
Frank Wood
Philip Torr
DRLCoGe
126
363
0
01 Jun 2017
Multi-Level Variational Autoencoder: Learning Disentangled
  Representations from Grouped Observations
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt
Ryota Tomioka
Sebastian Nowozin
BDLOODDRL
56
313
0
24 May 2017
Inverting The Generator Of A Generative Adversarial Network
Inverting The Generator Of A Generative Adversarial Network
Antonia Creswell
Anil Anthony Bharath
GAN
213
340
0
17 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
311
1,956
0
24 Oct 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
81
1,314
0
02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
92
142
0
31 May 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
173
2,072
0
31 Dec 2015
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
113
2,364
0
19 Nov 2015
Statistical exponential families: A digest with flash cards
Statistical exponential families: A digest with flash cards
Frank Nielsen
Vincent Garcia
123
186
0
25 Nov 2009
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