Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1711.01558
Cited By
Wasserstein Auto-Encoders
5 November 2017
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Wasserstein Auto-Encoders"
29 / 229 papers shown
Title
LOSSGRAD: automatic learning rate in gradient descent
B. Wójcik
Lukasz Maziarka
Jacek Tabor
ODL
40
4
0
20 Feb 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs
Amirhossein Taghvaei
Amin Jalali
33
43
0
19 Feb 2019
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs
Anton Mallasto
J. Frellsen
Wouter Boomsma
Aasa Feragen
22
15
0
10 Feb 2019
Deep Generative Learning via Variational Gradient Flow
Yuan Gao
Yuling Jiao
Yang Wang
Yao Wang
Can Yang
Shunkang Zhang
27
36
0
24 Jan 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders
Emile Mathieu
Charline Le Lan
Chris J. Maddison
Ryota Tomioka
Yee Whye Teh
BDL
DRL
34
172
0
17 Jan 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He
Daniel M. Spokoyny
Graham Neubig
Taylor Berg-Kirkpatrick
BDL
DRL
25
272
0
16 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems
Yibo Yang
P. Perdikaris
SyDa
BDL
AI4CE
29
55
0
15 Jan 2019
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging
Seong Jae Hwang
Zirui Tao
Won Hwa Kim
Vikas Singh
MedIm
17
12
0
24 Nov 2018
Spread Divergence
Mingtian Zhang
Peter Hayes
Thomas Bird
Raza Habib
David Barber
MedIm
UD
30
20
0
21 Nov 2018
Deep Knockoffs
Yaniv Romano
Matteo Sesia
Emmanuel J. Candès
BDL
18
139
0
16 Nov 2018
Gaussian AutoEncoder
J. Duda
DRL
20
1
0
12 Nov 2018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
Yibo Yang
P. Perdikaris
AI4CE
PINN
32
355
0
09 Nov 2018
Sparsemax and Relaxed Wasserstein for Topic Sparsity
Tianyi Lin
Zhibo Hu
Xin Guo
14
37
0
22 Oct 2018
Point Cloud GAN
Chun-Liang Li
Manzil Zaheer
Yang Zhang
Barnabás Póczós
Ruslan Salakhutdinov
3DPC
42
209
0
13 Oct 2018
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
Yogesh Balaji
Hamed Hassani
Rama Chellappa
S. Feizi
GAN
DRL
41
20
0
09 Oct 2018
DT-LET: Deep Transfer Learning by Exploring where to Transfer
Jianzhe Lin
Qi. Wang
Rabab Ward
Z. J. Wang
16
27
0
23 Sep 2018
Variational Autoencoder with Implicit Optimal Priors
Hiroshi Takahashi
Tomoharu Iwata
Yuki Yamanaka
Masanori Yamada
Satoshi Yagi
DRL
34
61
0
14 Sep 2018
Analyzing Inverse Problems with Invertible Neural Networks
Lynton Ardizzone
Jakob Kruse
Sebastian J. Wirkert
D. Rahner
E. Pellegrini
R. Klessen
Lena Maier-Hein
Carsten Rother
Ullrich Kothe
21
483
0
14 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Zhijian Ou
31
16
0
05 Aug 2018
Learning Implicit Generative Models by Teaching Explicit Ones
Chao Du
Kun Xu
Chongxuan Li
Jun Zhu
Bo Zhang
DRL
GAN
14
9
0
10 Jul 2018
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation
Hareesh Bahuleyan
Lili Mou
Hao Zhou
Olga Vechtomova
BDL
DRL
27
6
0
22 Jun 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
Antoine Liutkus
Umut Simsekli
Szymon Majewski
Alain Durmus
Fabian-Robert Stöter
DiffM
35
120
0
21 Jun 2018
Learning Factorized Multimodal Representations
Yao-Hung Hubert Tsai
Paul Pu Liang
Amir Zadeh
Louis-Philippe Morency
Ruslan Salakhutdinov
DRL
63
402
0
16 Jun 2018
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Xiaodong Gu
Kyunghyun Cho
Jung-Woo Ha
Sunghun Kim
DRL
41
129
0
31 May 2018
On representation power of neural network-based graph embedding and beyond
Akifumi Okuno
Hidetoshi Shimodaira
21
2
0
31 May 2018
Wasserstein Variational Inference
L. Ambrogioni
Umut Güçlü
Yağmur Güçlütürk
Max Hinne
E. Maris
Marcel van Gerven
BDL
DRL
19
42
0
29 May 2018
Deep Generative Models for Distribution-Preserving Lossy Compression
Michael Tschannen
E. Agustsson
Mario Lucic
16
130
0
28 May 2018
Primal-Dual Wasserstein GAN
Mevlana Gemici
Zeynep Akata
Max Welling
41
13
0
24 May 2018
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
38
596
0
31 Oct 2017
Previous
1
2
3
4
5