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Hyperspherical Variational Auto-Encoders
v1v2v3 (latest)

Hyperspherical Variational Auto-Encoders

3 April 2018
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
    DRLBDL
ArXiv (abs)PDFHTMLGithub (230★)

Papers citing "Hyperspherical Variational Auto-Encoders"

15 / 215 papers shown
Title
Preventing Posterior Collapse with delta-VAEs
Preventing Posterior Collapse with delta-VAEs
Ali Razavi
Aaron van den Oord
Ben Poole
Oriol Vinyals
DRL
94
171
0
10 Jan 2019
Poincaré Wasserstein Autoencoder
Poincaré Wasserstein Autoencoder
Ivan Ovinnikov
90
17
0
05 Jan 2019
Topological Constraints on Homeomorphic Auto-Encoding
Topological Constraints on Homeomorphic Auto-Encoding
P. D. Haan
Luca Falorsi
47
6
0
27 Dec 2018
A Tutorial on Deep Latent Variable Models of Natural Language
A Tutorial on Deep Latent Variable Models of Natural Language
Yoon Kim
Sam Wiseman
Alexander M. Rush
BDLVLM
121
42
0
17 Dec 2018
Adversarial Autoencoders with Constant-Curvature Latent Manifolds
Adversarial Autoencoders with Constant-Curvature Latent Manifolds
Daniele Grattarola
L. Livi
Cesare Alippi
BDL
70
29
0
11 Dec 2018
Embedding-reparameterization procedure for manifold-valued latent
  variables in generative models
Embedding-reparameterization procedure for manifold-valued latent variables in generative models
Eugene Golikov
M. Kretov
DRL
45
0
0
06 Dec 2018
A Retrieve-and-Edit Framework for Predicting Structured Outputs
A Retrieve-and-Edit Framework for Predicting Structured Outputs
Tatsunori B. Hashimoto
Kelvin Guu
Yonatan Oren
Percy Liang
BDLKELM
118
176
0
04 Dec 2018
Sinkhorn AutoEncoders
Sinkhorn AutoEncoders
Giorgio Patrini
Rianne van den Berg
Patrick Forré
M. Carioni
Samarth Bhargav
Max Welling
Tim Genewein
Frank Nielsen
DiffM
67
89
0
02 Oct 2018
Variational Autoencoder with Implicit Optimal Priors
Variational Autoencoder with Implicit Optimal Priors
Hiroshi Takahashi
Tomoharu Iwata
Yuki Yamanaka
Masanori Yamada
Satoshi Yagi
DRL
107
65
0
14 Sep 2018
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for
  Recommender Systems
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
Lucas Vinh Tran
Yi Tay
Shuai Zhang
Gao Cong
Xiaoli Li
98
124
0
05 Sep 2018
Spherical Latent Spaces for Stable Variational Autoencoders
Spherical Latent Spaces for Stable Variational Autoencoders
Jiacheng Xu
Greg Durrett
BDLDRL
96
195
0
31 Aug 2018
Explorations in Homeomorphic Variational Auto-Encoding
Explorations in Homeomorphic Variational Auto-Encoding
Luca Falorsi
P. D. Haan
Tim R. Davidson
Nicola De Cao
Maurice Weiler
Patrick Forré
Taco S. Cohen
BDLDRL
107
115
0
12 Jul 2018
MolGAN: An implicit generative model for small molecular graphs
MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao
Thomas Kipf
GNNGAN
193
931
0
30 May 2018
Implicit Reparameterization Gradients
Implicit Reparameterization Gradients
Michael Figurnov
S. Mohamed
A. Mnih
BDL
130
235
0
22 May 2018
Change Detection in Graph Streams by Learning Graph Embeddings on
  Constant-Curvature Manifolds
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
Daniele Grattarola
Daniele Zambon
Cesare Alippi
L. Livi
GNN
75
41
0
16 May 2018
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